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Chickens' behaviors and activities are important information for managing animal health and welfare in commercial poultry houses. In this study, convolutional neural networks (CNN) models were developed to monitor the chicken activity index. A dataset consisting of 1,500 top-view images was utilized to construct tracking models, with 900 images allocated for training, 300 for validation, and 300 for testing. Six different CNN models were developed, based on YOLOv5, YOLOv8, ByteTrack, DeepSORT, and StrongSORT. The final results demonstrated that the combination of YOLOv8 and DeepSORT exhibited the highest performance, achieving a multiobject tracking accuracy (MOTA) of 94%. Further application of the optimal model could facilitate the detection of abnormal behaviors such as smothering and piling, and enabled the quantification of flock activity into 3 levels (low, medium, and high) to evaluate footpad health states in the flock. This research underscores the application of deep learning in monitoring poultry activity index for assessing animal health and welfare.

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OBJECTIVES: Catheter-associated urinary tract infection (CAUTI) is an important cause of prolonged hospital stay, which increases economic and medical burden for patients and hospitals, and it is a key focus of hospital infection prevention and control. However, there are currently few studies that convert evidence-based scientific evidence on CAUTI prevention and control into clinical applications and evaluation on its practical effects in combination with standardized infection ratio (SIR), the critical indicator of infection prevention and control. This study aims to establish a precision management plan for reducing the incidence of CAUTI, driven by the findings of a comprehensive evidence summary, to apply this plan across all the nursing units within the entire hospital, followed by a comparative analysis of CAUTI incidence, SIR, the average duration of indwelling urinary catheter for each patient, and the compliance rate on hand hygiene protocols for medical staff before and after the implementation of the precision management plan. METHODS: Based on a comprehensive review of the best evidence for preventing CAUTI, a precision management plan was meticulously developed through panel discussions and 2 rounds of expert consultations using Delphi technique. Subsequently, a historical control study was conducted to evaluate the plan's effectiveness. A total of 17 658 patients with indwelling urinary catheter in inpatient departments from January to December 2021 comprised the control group. These patients received standard nursing measures for CAUTI. Another 18 753 patients with indwelling urinary catheters in the inpatient departments from January to December 2022 comprised the intervention group, underwent the precision management scheme based on the best available evidence, to enhance CAUTI prevention. The incidence and SIR of CAUTI, the average duration of indwelling urinary catheter for each patient, and the compliance rate on hand hygiene protocols for medical staff were compared between the 2 groups. RESULTS: Compared with the control group, the incidence of CAUTI in the intervention group was significantly decreased (0.48‰ vs 1.12‰, χ2=20.814, P<0.001), SIR was decreased in the intervention group (0.55 vs 1.37); the average duration of indwelling urinary catheter for each patient was significantly decreased [(4.33±1.55) d vs (4.43±1.79) d, t=11.941, P<0.001]. The ratio of compliance rate of medical staff with strict hand hygiene protocols higher than 95% in the intervention group was significantly higher than that in the control group (93.3% vs 83.3%, χ2=5.822, P=0.016). CONCLUSIONS: The implementation of the precision management plan for reducing CAUTI based on a summary of the best available evidence on CAUTI prevention and control in patients with indwelling urinary catheters has found to be effective. This approach significantly reduces the incidence of CAUTI, reduces the average duration of indwelling urinary catheter, and enhances hand hygiene compliance among medical staff. It provides a scientific and efficient strategy for preventing and controlling CAUTI in the hospital, ultimately saving patients from unnecessary medical expense.

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Use of a grazing system that takes into account the ingestive behavior of animals and the physiological characteristics of plants maximizes land use and promotes positive effects on the environment. In this sense, the objective of this study was to evaluate the performance of Pantaneira breed cows, kept in rotated grazing in Mombasa grass (Megathyrsus maximum), with different grazing times. Fifty animals were divided into two treatments: Continuous T1: 24 h and T2-Inverted: 12 h. The experiment lasted 98 days, being determined the production and nutritional quality of the forage, digestibility, intake, and performance of the animals. The design was randomized blocks at 5% probability, with the means compared by the F test. The design used was completely randomized at 5% probability by the T test. There was no significant difference for biomass production (P > 0.05). However, after grazing the Inverted group, the forage showed a lower percentage of leaves and an increase in neutral detergent fiber and acid contents and total carbohydrates, and a reduction in crude protein and ether extract values, as well as a higher digestibility (P < 0.05). The animals of the Continuous group intaked more forage (P < 0.05). The Inverted group had a higher average daily weight gain, in addition to a lower feed conversion (P < 0.001). The animals in the Control group spent more time eating (P < 0.0001) and sleeping (P < 0.0001), while the animals of the Inverted group spent more time in idleness (P < 0.0001) and interacting (P < 0.05). There was no difference in rumination time between treatments (P > 0.05). It was concluded that Inverted grazing improved the quality of Mombasa grass and the performance of cows.

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There is great heterogeneity among inflammatory bowel disease (IBD) patients in terms of pathogenesis, clinical manifestation, response to treatment, and prognosis, which requires the individualized and precision management of patients. Many studies have focused on prediction biomarkers and models for assessing IBD disease type, activity, severity, and prognosis. During the era of biologics, how to predict the response and side effects of patients to different treatments and how to quickly recognize the loss of response have also become important topics. Multiomics is a promising area for investigating the complex network of IBD pathogenesis. Integrating numerous amounts of data requires the use of artificial intelligence.

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The medical insurance medical consumables were introuduced in terms of coding and standard implementation.A whole-process supervision method based on the codes of medical insurance medical consumbles was put forward to carry out catalog classification and selection,demand reporting and planned procurement,acceptance and storage management and use supervision,conditions monitoring and analysis and etc.The efficiency of various departments of clinical insitutitions was enhanced effectively for supervising clinical application of medical consumables,and the whole-process management of medical consumables was standardized.References were provided for the precision management of medical consumables.[Chinese Medical Equipment Journal,2023,44(9):74-77]

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Ewes often lamb over extended periods so the level of nutrition during pregnancy and lambing may be suboptimal for ewes that conceived later during mating. Predicting lambing dates would allow cohorts of ewes with similar gestational ages to be managed more precisely to achieve targets for ewe nutrition, feed on offer, mob sizes and access to shelter to improve lamb survival. The interactions between ewes and rams during mating have been used to predict the time of oestrus and lambing dates successfully, but this has not been tested at a commercial scale. In this study, proximity sensors were used to measure interactions between inexperienced Merino ewes (n = 317) and experienced rams (n = 9) during a 27-day mating period under commercial production conditions. When the gestation length was assumed to be 150 days, 91% of lambing dates were predicted within ±6 days of the actual birth date of lambs and 84% of lambing dates were predicted within ±3 days. The use of proximity sensors during mating was an effective means of predicting lambing dates, and there was no significant difference in accuracy for single bearing verses multiple bearing ewes. However, DNA parentage data showed the ram corresponding with the maximum daily interactions ratio was the sire for only 16% of all progeny, suggesting they could not be used to indicate the sire of the progeny.

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The rice-wheat cropping system (RWCS) is the backbone of Indian farming, especially in the north-western region. But continuous adoption of the RWCS in northwest India has resulted in major challenges and stagnation in the productivity of this system. Additionally, the Indo-Gangetic Plains of Pakistan, Nepal, and Bangladesh are also facing similar challenges for sustainable production of the RWCS. Several emerging problems, such as the exhausting nutrient pool in soil, deteriorating soil health, groundwater depletion, escalating production cost, labor scarcity, environmental pollution due to crop residue burning and enhanced greenhouse gas emissions, climatic vulnerabilities, and herbicide resistance in weed species, are a few major threats to its sustainability. To address these challenges, a wide range of sustainable intensification technologies have been developed to reduce the irrigation and labor requirements, tillage intensity, and straw burning. Awareness and capacity building of the stakeholders and policy matching/advocacy need to be prioritized to adopt time- and need-based strategies at the ground level to combat these challenges. This review summarizes the current status and challenges of the RWCS in the northwest region of the country and also focuses on the precision management options for achieving high productivity, profitability, and sustainability.

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Establish a hospital logistics information SPD system, carry out internet cloud procurement, and interface with the hospital HIS system, surgical anesthesia system, internal control management system, etc, to form an information system covering the entire process of external logistics, internal logistics, and internal control audit. Accurately classify consumables in multi-dimensions, improve the consumables dictionary field information dictionary database, refine supplier management, and realize the whole process of implanting interventional and high-value consumables into three codes (material code, medical insurance consumable code, charge code) traceability management, and data visualization. At the same time, it reduces hospital inventory and cost pressure, reduces the intensity of nursing staff's management of consumables, reduces the risks and loopholes of consumables management, and improves the level of digital and intelligent management of medical consumables.

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Chronic disease management is a challenging issue in China. To address the needs of talents and mature innovation ecosystem related to chronic disease management, The First Affiliated Hospital of Sun Yat-sen University(FAH-SYSU) actively responds to the national strategy to promote the high-quality development of the hospital through strengthening strategic planning, top-level design, and systematic consideration. Precise management of chronic diseases was taken as key measure for the construction of a national medical center. With continuous exploration in establishing talent pool, innovation center and application platform, and chronic disease management system that focuses on core elements of talent and innovation, the FAH-SYSU Model for the precise management of chronic diseases has been initially formed.

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Chronic diseases have grown into a major public health threat affecting social development. The traditional management of chronic diseases tends to characterize " prioritizing treatment and neglecting prevention" . In this study, big data application, knowledge management, knowledge service and other theories and methods in the information management discipline were put in practice of chronic disease management. Thanks to the construction of a multi-source and heterogeneous chronic disease database, a chronic disease health knowledge analysis platform and a chronic disease service application platform, the following objectives were achieved. These included the data interconnections between patients′ self-testing data and medical institutions′ data in chronic disease data management, the integration and accurate delivery of chronic disease health knowledge, and personalized and accurate services covering the whole process of chronic disease management, namely prevention, diagnosis, treatment and rehabilitation.Since August 2019, this management mode has been used to build a diabetes big data platform. By January 2022, 380 million pieces of diagnosis, treatment and management data were collected from about 2.16 million residents, with the accuracy rate of 97.46% and the integrity rate of 96.07%. Corresponding knowledge base and service platform were built, and personalized service was provided to diabetes patients. These measures improvd the awareness rate, treatment rate, treatment control rate, science popularization and communication rate covering both diabetes patients and community residents.

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Realizing precision management, which is of great importance in city-level emission reduction management, requires scientific identification of key enterprises and differentiated emission reduction measures. However, current studies have not considered the enterprises units, or have not proposed the emission reduction paths of them. To solve this problem, this study chooses Changzhi, an industrialized city in China as a case, and considers 54 enterprises from thermal-power, cement, coking, and iron and steel sectors. The pollution performances, including the indicators of energy intensity and emission intensities of SO2, NOx, and PM of the 54 enterprises are evaluated. After identifying the key enterprises, this study designs their emission reduction paths including three types of measures, and quantifies the emission reduction potential. The results show that: (1) The 54 enterprises have imbalanced pollution performances, as the values have difference of 2-4 orders of magnitude. 13, 10, and 19 enterprises are classified into level A, B, and C respectively. (2) The emission reduction paths of 24 key enterprises are designed, which can reduce 3441.21, 4507.85, and 1683.12 tons of SO2, NOx, and PM. This accounts for 29.4%, 21.2%, and 14.9% of the total emissions. Based on these results, this study puts forward some policy suggestions of precision management measures in Changzhi. In sum, this study provides a methodology into quantitative analysis of precision air pollutant emission reduction management at city level, and put forward some critical insights of cleaner and sustainable production of the enterprises.

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Hanwoo cattle are an important food source in Korea and their supply can have a major impact on meat availability for Korean consumers. The Hanwoo population was 1.8 million head in 2005 and gradually increased to 2.6 million in 2015. Per capita beef consumption has also increased, to 11.6 kg per year in 2015, and is expected to continue to increase. Because intramuscular fat percentage is a critical contributor to meat quality, Hanwoo cattle are fed a high-energy corn-based diet for long fattening periods. Long fed diet causes significant alterations in fat percentage in the loin muscle and other areas of the carcass. However, these long feeding periods increase feeding costs and beef prices. Recently, there has been increased Korean consumer demand for lean beef which has less fat, but is tender and priced more reasonably. These consumer demands on the Korean beef industry are driving differing beef production systems and also changes to the beef grading methodology. Korean government has made a significant investment to select bulls with favorable production traits using progeny testing. Progeny tested bull semen has been disseminated to all Hanwoo farmers. A beef traceability system has been employed for all cattle breeds in Korea since 2009. Hanwoo cattle are ear-marked with a 12-digit identification number from birth to slaughter. This number allows traceability of the management history of individual cattle, and also provides information to consumers. Traceability including management information such as herd, farm, year of birth, and carcass data can determine estimated breeding values of Hanwoo. For a sustainable Hanwoo industry, research scientists in Korea have attempted to develop feeds for efficient fattening periods and precision feeding systems based on genetic information for Hanwoo cattle. These initiatives aim to Korean consumer demands for beef and provide more precision management in beef production in Korea.

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Objective To fulfill standardized and precision management of medical consumables purchasing. Methods Medical consumables purchasing was executed based on the e-commerce platform in the drug exchange facility, the access process was standardized for medical consumables, and the monitoring and supervision were implemented for price inquiry, purchasing ways, introduction flow of new products, qualification inspecting of suppliers and etc. Results The improved medical consumables purchasing flow based on drug exchange mode contributed to decreasing purchasing cost, avoiding bidding risks as well as precision management. Conclusion The purchasing based on drug exchange is of great value for hospital medical consumables purchasing management.

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Objective To explore informatized management of medical consumables in new situation.Methods lntormatized management of medical consumables was executed with the involvement of multi-dimension data analysis,medical consumables supervision and approval system under early warning mechanism,secondary development of sunshine purchase platform as well as big data rebuilding and etc.Results The whole-course supervision from purchase to utilization was realized for medical consumables,which provided data support to medical consumables utilization.Conclusion Wholecourse,professional and informatized management is implemented for medical consumables,which lays a foundation for clinical service and hospital transformation.

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Objective To explore informatized management of medical consumables in new situation.Methods lntormatized management of medical consumables was executed with the involvement of multi-dimension data analysis,medical consumables supervision and approval system under early warning mechanism,secondary development of sunshine purchase platform as well as big data rebuilding and etc.Results The whole-course supervision from purchase to utilization was realized for medical consumables,which provided data support to medical consumables utilization.Conclusion Wholecourse,professional and informatized management is implemented for medical consumables,which lays a foundation for clinical service and hospital transformation.

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Objective To explore a scientific and forward-looking medical materials classification and coding strategy by studying the medical materials classification and coding of extracorporeal circulation and blood purification.Methods From the clinical practice and based on the national standard and the industry standard,the classification coding framework was built through expert consultation and the research of literature and regulation.Results A set of medical devices coding system was proposed determining identifier position,type,name,material,specification and etc,which involved in 7 layers and 14 digits of codes.Each layer was represented by 2 bits of digital Arabia.The coding system fulfilled the requirements for medical facility internal management and centralized purchase bidding.Conclusion The classification and coding system for extracorporeal circulation and blood purification consumables eliminates the deficiencies in naming,promotes consumables information system and lays a foundation for consumables precision management and bidding.

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Objective To develop a clinical intelligent management system of dressing consumables to realize precision consumables management without increased manpower consumption.Methods The system was composed of four parts of storage box,display screen,detection unit and control processor.The storage box consisted of storage units,identification unit and an input panel.The storage unit included a box body,a lid and an electronic lock for locking the body and lid,and the lock was connected with the control processor.Results The system recognized the medical prescription automatically,and then corresponding dressing consumables were packed and ejected accordingly.Conclusion The system decreases the costs for time,manpower and medical service,and thus is worthy promoting practically for precision hospital consumables management.

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The whole-farm nutrient mass balance (NMB) is an adaptive management tool that can be used to identify areas for improvement in nutrient management and to monitor progress over time. The objectives of this study were to (1) evaluate the trends of nitrogen and phosphorus mass balances of 27 New York State dairy farms over 6 to 10 yr, (2) identify specific management changes made by 4 case study farms that improved NMB over time by shifting NMB up or down depending on the initial NMB, and (3) evaluate the potential of key indicators to identify opportunities for improvement in NMB. During the study period, milk price fluctuated whereas costs associated with feed and fertilizer increased substantially. Of the 27 farms, 67 to 74% (depending on the nutrient) decreased NMB per hectare over time, whereas 63 to 67% decreased NMB per megagram of milk over time. In general, changes in NMB were directionally correct, with 43 to 56% of farms operating in the optimum operational zone (with both NMB per hectare and per megagram of milk below the feasible levels suggested for New York) toward the end of the study versus 22 to 26% in the first 2 yr of the assessments. The 4 case study farms improved their NMB, whole-farm nutrient use efficiencies, and feed nutrient use efficiencies while maintaining or increasing milk production per cow. The case study farmers made the largest changes in precision feed management, reducing protein and P in purchased feed by replacing concentrates with blends with lower nutrient concentrations. Total nutrient imports, feed imports, the percentage of homegrown feed and nutrients, the concentration of nutrients in the purchased feed, fertilizer imports, and overall crop yields were useful in identifying potential areas for improvement in NMB.

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The objective of the present study was to assess the effect of parturition on behavioral activity [steps, standing time, lying time, lying bouts (LB), and duration of LB] 4 d before calving using electronic data loggers. Animals (n=132) from 3 herds were housed in similar freestall barns using a prepartum pen 21 d before the expected calving date and were moved into a contiguous individual maternity pen for parturition. Electronic data loggers were placed on a hind leg of prepartum heifers (heifers, n=33) and cows (cows, n=99) at 7±3 d before the expected calving date and removed at 14±3 d in milk. Calving ease (scale 1-4), parity, calving date and time, and stillbirth (born dead or died within 24h) were recorded. The number of steps (no./d), standing time (min/d), lying time (min/d), number of LB (no./d), and duration of LB (min/b) were recorded. Data were analyzed using MIXED procedures of SAS, adjusting for the herd effect. Only cows experiencing unassisted births (calving ease=1) were included in the study. An activity index was developed to predict calving time. Heifers and cows with unassisted births had significantly higher number of steps and longer standing time, decreased lying time, and more LB of shorter duration 24h before calving compared with d -4, -3, and -2. Additionally, the number of LB increased as both heifers and cows approached labor starting on d -2 and peaked at the day of calving. The time since the activity index increased over 50% to parturition did not differ between heifers and cows, and the activity index revealed the shift in activity on average 6h 14min (range from 2h to 14h 15min) before calf birth. This study provided evidence that heifers and cows approaching parturition showed a similar, but distinct, behavioral pattern that can be observed on average 6h before calf birth. The potential benefits of electronic data loggers as predictors of parturition along with proactive management practices should improve the overall survival and welfare of both the dam and calf.

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