Miracle-dz/UniFAR-FTUs huggingface dataset:
A Prospective Study of Cholecystectomy in District General Hospital Settings with Literature Review.

Background: Cholecystectomy is a major operation with the potential for serious morbidity and even mortality. Complication rates are varied, with the majority being encountered in the emergency setting. Our aim was to analyse complications following cholecystectomy performed in the emergency and elective setting. Subsequently, with the aid of an extensive literature review, we assess any key factors in predicting complications and make recommendations on optimal management.Methods: Data was collected prospectively over a one-year period during 2004. A data collection tool was designed to be generated at the time of the theatre, completed up until the time of discharge, and at the first follow-up appointment. Literature review involved MEDLINE, EMBASE and Pubmed literature searches performed up until March 2008 to identify original studies, irrespective of language, blinding or publication status, on cholecystectomies and their associated complications. Results: 442 cholecystectomies were performed in the year 2004; 94.6% were performed laparoscopically, of which 12% were as an emergency. Overall conversion rate was 8.1%, being higher as an emergency as opposed to open (19.3% vs. 3.1%). Bile duct injury was encountered in 0.4% and excessive bleeding in 5%. CBD exploration was carried out in 1%. Overall mortality was 1.5%. Conclusions: There are many factors to take into account when carrying out this commonly performed procedure. Clear identification of anatomy is imperative, and there should be no hesitation in requesting the assistance of a more experienced laparoscopic or upper GI surgeon.
Particle Swarm Optimization Approach for Scheduling of Flexible Job Shops

Recent developments in research on decision making have linked up the strings of optimization with the social behavior of the insects. There have been a host of complex problems like scheduling, project management, routing etc., that are conveniently mapped with natural environment and solved through the inspiration of the insects. This paper illustrates the application of particle swarm optimization (PSO) approach for solving a simple and flexible job shop problems with an objective of minimizing the maximum completion time of all the jobs. The preliminary results are quite encouraging and motivating for the researchers to use PSO as a powerful tool in real time scheduling problems.
Off the record: Substance-related disorders in the undergraduate medical curricula in Ireland

Abstract Background: Substance use disorders (SUDs) are a worldwide problem, and have become a major health concern in Ireland particularly. We aimed to determine the extent to which addiction medicine is embedded in the undergraduate medical curriculum in Ireland. Methods: To further investigate the degree to which drug addiction is taught in the Irish medical curriculum an online literature search was performed using Google Scholar, PubMed (from 2009 to present), EMBASE, PsycINFO, CINAHL, and Medline using the keywords “substance-related disorders,” “undergraduate,” “curriculum” and “Ireland. ” Additionally, all Irish medical school websites were examined (n = 6), and a Google search and manual searches of conference programs were performed. We used the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines to systematically review and discuss findings. Results: A total of zero published studies met the criteria for inclusion in an updated systematic literature search of addiction medicine education in the undergraduate medical curriculum in Ireland. Conclusion: There is currently no documentation of drug addiction teaching sessions in Irish medical schools. Investigations that offer direct contact with medical schools, such as a telephone survey, may provide a more accurate representation of how addiction medicine education is incorporated into the medical school curricula.
Effect of delay jitter on quality of control in EIA-852-based networks

The popularity of network-based control systems (NBCS) is continuously growing. One of the most intriguing aspects is the transportation of control network data over IP-based networks as standardized in EIA-852. To a large extent the actual quality of control (QoC) in such systems depends on the network timing such as delay and delay jitter. This work focuses on the effect of delay jitter at a fixed mean delay on the QoC. Two sources of delay jitter are identified in EIA- 852-based systems: (i) network traffic induced, and (ii) protocol induced. At the example of a simple control-loop it is investigated how the induced jitter affects the QoC using a time-discrete simulation model. Concepts to reduce the effect of jitter on QoC are presented and conclusions are drawn how the findings in the EIA-852 system can be extended to a generalized NBCS.
Assessment of stabilizing controls for a non-autonomous microgrid system

One of the features of microgrids is that they contain distributed generation (DG) resources. Interfacing of these generators involves a good number of electronic components and filters. Small changes in operating conditions as well as disturbances at or beyond the point of common coupling can excite the associated eigenvalues giving rise to small signal instability in the system. This article considers the stability of a microgrid consisting of a microalternator, wind generator, PV system, fuel cell system, and an energy storage device supplying an aggregated load. The hierarchy of the control signals of the various DGs and static compensator (STATCOM) for damping enhancement has been identified using Hankel singular value as well as residue analysis. The voltage phase angle of the STATCOM voltage source controller (VSC) has been observed to contain maximum damping contents, followed by the fuel cell and PV converter voltage angles. Simulation studies verify that the phase angle control of the STATCOM voltage provides very good transient control of the microgrid system.
ÖĞRETMENLERİN POZİTİF PSİKOLOJİK SERMAYE ALGILARININ İŞ DOYUMLARI VE ÖRGÜTSEL BAĞLILIKLARI ÜZERİNDEKİ ETKİSİ

Bu arastirmanin amaci, ilkogretim okullarinda gorev yapan ogretmenlerin olumlu psikolojik sermaye algilarinin, is doyumu ve orgutsel baglilik duzeyleri uzerindeki etkisini belirlemektir. Betimsel nitelikte ve iliskisel tarama modelindeki bu arastirmanin orneklemini, 2012–2013 egitim-ogretim yilinda Diyarbakir il merkezindeki resmi ve ozel ilkogretim okullarinda gorev yapan 900 ogretmen olusturmaktadir. Arastirmada veri toplama araclari olarak Luthans, Youssef ve Avolio, (2007) tarafindan gelistirilen “Psikolojik Sermaye Olcegi”; Weiss, Dawis, Lofquist ve England, (1967) tarafindan gelistirilen Minnesota Is Doyum Olcegi ve Ustuner (2009) tarafindan gelistirilen “Ogretmenler icin Orgutsel Baglilik Olcegi” kullanilmistir. Elde edilen verileri analiz etmek amaciyla SPSS paket programi ile parametrik ve non-parametrik testler uygulanmis, AMOS programi ile model olusturulmus ve boylece ogretmenlerin psikolojik sermaye algilarinin, is doyumlari ve orgutsel bagliliklari uzerindeki etkisi belirlenmeye calisilmistir. Arastirma bulgulari incelendiginde, ogretmenlerin psikolojik sermaye algilarinin “yuksek” duzeyde, is doyumlari ve orgutsel bagliliklarinin ise “orta” duzeyde oldugu belirlenmistir. Yapisal esitlik modellemesi araciligi ile yapilan analiz sonuclarina gore, ogretmenlerin psikolojik sermaye algilarinin, is doyumu ve orgutsel baglilik duzeylerini pozitif yonde etkiledigi ve anlamli bir sekilde yordadigi; ayrica aracilik testi sonuclarina gore is doyumunun, psikolojik sermaye ile orgutsel baglilik arasinda aracilik etkisinin oldugu tespit edilmistir.
From intensive statins to intensive lipid lowering: Amplitude of low-density lipoprotein-cholesterol lowering is the core for atherosclerosis cardiovascular disease prevention

Cholesterol is a risk factor for atherosclerotic cardiovascular disease (ASCVD). The epidemiology, clinical intervention trials, and genetic studies that low-density lipoproteins (LDLs) cause ASCVD. Lowering LDL-C is a cornerstone and important strategy for the prevention and treatment of ASCVD. The benefit of reducing ASCVD by statins is completely dependent on the absolute reduction of LDL-C. Several recent large trials have also now shown that lowering LDL with non-statins reduces cardiovascular events. In ASCVD patients on statins, adding ezetimibe or a PCSK9 inhibitor led to reductions in CV events in the IMPROVE IT, FOURIER, and the ODYSSEY-OUTCOMES trials. Compared with high-dose statins, statins combined with nonstatins, such as ezetimibe, can more effectively lower LDL-C and can result in a more significant reduction in the risk of CVD. Therefore, this therapy is a lipid-lowering option with significant efficacy and sufficient evidence of benefit in clinical practice.
GENETIC POLYMORPHISM OF ANGIOTENSINOGEN GENE IN HIGH BLOOD PRESSURE

Hypertension can be classified as either essential or secondary. While secondary hypertension is a result of another defined condition, affecting only 5% of hypertensive patients, Essential hypertension refers to hypertension of unknown cause. and comprises 95%of all cases It is believed that EH is a multifactorial and polygenic disease; it results from an interplay WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES
Regional Variation in Intonation

The intonational diversity of regional varieties provides a challenge to both traditional and autosegmental theories of intonation, which mostly derived from the study of national standard languages. The ten chapters in this book give an overview of current research covering regional varieties of English, German, Italian and Greek. While all contributions share a general autosegmental perspective, they represent different approaches and use different types of data ranging from experimental speech data to spontaneous conversational speech.
SOSYALLEŞMENİN DİJİTALLEŞMESİ OLARAK SOSYAL MEDYA VE RESİMLER ARASINDA KAYBOLMA BOZUKLUĞU: PHOTOLURKING

Teknolojinin gelismesi ve bu yonde geleneksel medyanin da dijitallesmeye baslamasiyla; hayati ve akisini hizlandiran, cozume yonelik alternatiflerin ve cozum yollarinin artmasini pekistiren pek cok kolaylik saglanmaya baslamistir. Merkezi, ureticisi ve kullanicisi insan odakli olan bu kolaylik, riskleri de beraberinde getirmektedir. Kapsaminda internet, oyun, mobil, sosyal medya, pornografi, kumar ve sans oyunlarini alan ve 1990’li yillar itibariyle psikiyatri literaturune giren teknoloji bagimliligi bu risklerin olusumunda birincil orneklerden biridir. Analog fotograf makineleri ve ciktisi olan hardcopy (basili kopya) fotograflardan album olusturma, ozellikle yakin iliskide olan bireylerin bir araya geldigi ortamlarda album fotograflarina bakma aliskanligi, gunumuzde yerini cogunlugu mobil telefonlar ile cekilen ve sosyal medyada paylasilan resimlere bakma olarak almistir. Icerigi, kodlari ve ayirt edici gostergeleriyle cesitliligini gosteren, dikkatleri ceken, esanli olarak birden fazla resmi ekran karsisina getirmeyi basaran, hizli akan bir devinim icerisinde izleyiciyi/kullaniciyi saat dilimi icerisinde uzun sure tutan bu durum, internette saatlerce fotograflara bakma anlamini tasiyan photolurking rahatsizligini ortaya cikarmistir. Makalede dijitallesmeyle birlikte sosyal medya kullanimi, problemli kullanimla birlikte ortaya cikan bir davranis bozukluk ornegi olarak photolurking ele alinmis, gorusme teknigi kullanilarak farkli yas ve statulerde 5 bireyin Instagram uygulamasi kullanimi incelenmistir.
Exercise on prescription: guidelines for health professionals

Exercise has the capability to improve many aspects of health, yet national surveys have indicated that the general population is not exercising su¤ciently for such bene¢ts to accrue.With a great proportion of the population attending general practices each year, general practitioners have a unique opportunity to increase the prevalence of exercise. With such a realization, `exercise on prescription' schemes, in which general practitioners prescribe exercise as an alternative to medication, have become increasingly popular within the United Kingdom. However, few guidelines as to good practice exist. This paperaims tobridge this gapprior to theavailability of detailed evaluations, by drawing upon the experiences of a scheme established in 1993 by the LIFE Project, a community-based heart disease prevention programme. The scheme currently has 22 general practices referring patients to a coordinator who decides upon the most appropriate form of exercise prescribed after an introductory consultation and a health check. To date, over 600 patients have been referred. The paper focuses upon various aspects associated with exercise on prescription including patient selection, targeting of general practices and leisure venues, ethical considerations, adherence issues, and the most appropriate speci¢c exercise options.
Investigation of dynamic routing and spectrum allocation methods in elastic optical networks

The introduction of flexible frequency grids and advanced modulation techniques to optical transmission, namely an elastic optical network, requires new routing and spectrum allocation techniques. In this paper, we investigate dynamic two-step routing and spectrum allocation (RSA) methods for elastic optical networks. K-shortest path-based methods as well as spectrum allocation methods are analysed and discussed. Experimental verified of the investigated techniques is provided using simulation software. Based on the obtained experimental results, it can be seen that effectiveness of routing and spectrum allocation methods depend on network topologies. Moreover, performance of shortest path first methods improves considerably when a number of candidate paths increases in a topology with high nodal degree.
Integrating family planning services into voluntary counseling and testing centers in Kenya. Operations research results.

Current investments by the international HIV/AIDS sector to expand health services offer unprecedented opportunities to reinforce health care infrastructures. Strengthened reproductive health services and contraceptive services in particular are imperative since their benefits are highly complementary to and synergistic with HIV/AIDS control objectives. Evidence is accumulating that contraception is a potentially powerful and cost-effective HIV prevention strategy enabling HIV-infected women to prevent undesired pregnancies thereby averting mother-to-child HIV transmission. One strategy for extending the benefits of contraceptive services to people affected by HIV is to integrate these services into HIV/AIDS services. Contraceptive services are integral components of HIV services as opposed to mere complements since they lead to the same outcome namely a decrease in HIV infections. For both individuals who are HIV infected and those who are not contraception offers a variety of established benefits to the mother her family and her community. (excerpt)
IMPROVING FAULT-TOLERANCE OF FEEDFORWARD NEURAL NETWORKS WITH GENETIC ALGORITHMS

The problem of improving the fault-tolerance of feedforward neural networks that suffers open fault is transferred to a minimum optimization problem, and a genetic algorithm is used to evolve networks that have good fault-tolerance and strong generalization ability. Since neither extra network redundancy is introduced nor training algorithm is modified, the independence of the network architecture, training algorithm, and fault-tolerant process are well kept. Experiments show that this method achieves good results in two benchmark tests.
EXPLORING OPPORTUNITIES OF POWER SAVINGS IN DATABASE QUERY OPTIMIZERS

As the energy consumption in computing systems is increasing, much attention is being paid to make computing systems more power efficient. While there has been a lot of work done in the past in designing better hardware or hardware control mechanisms for this purpose, there has not been much work in making software applications power-aware. Since database management systems are a major component of computing systems, energy consumption by them is also significant and hence there is a need to make them power-aware. There hasn’t been much study done to check the current state of the database query optimizers in terms of power efficiency. Since the goal of present query optimizers is to minimize the response time, it is very much possible that energy or peak power consumption is being compromized. In our work, we try to see if this is the case with current database optimizers. We explore all the existing opportunities to improve on these power metrics and evaluate the possible improvements. The analysis to understand the trade-off between energy/peak power and performance has also been carried out.
SPEED CONTROL OF FOUR QUADRANT PMDC MOTOR DRIVE USING PI BASED ANN CONTROLLER

1 PG Student [Electrical Machines], Department of EEE, Sree Buddha College of Engineering Pattoor, Kerala, India 2 Assistant professor, Department of EEE, Sree Buddha College of Engineering Pattoor, Kerala, India 3 PG Student [Electrical Machines], Department of EEE, Sree Buddha College of Engineering Pattoor, Kerala, India Abstract – In recent years the availability of petroleum resources have decreased, which has paved the way for Hybrid Electric Vehicles (HEVs). The propulsion technology used in these vehicles are more eco-friendly and reduces the consumption of petroleum resources to a large extent compared to conventional automobiles. Both ac and dc motor drives are used in this field. Due to its high reliability, flexibility, simplicity and economical cost dc drives are widely used in the field of HEV’s. In order to achieve better drive range and improved performance of the motor, control techniques are necessary for dc to dc power converters in electric cars. The main problems faced during the driving operation are fluctuations in input battery voltage, load variations which decreases the performance of the drive. So it is necessary to maintain a constant output voltage of dc to dc converters irrespective of these variations for better performance. Therefore proper controlling techniques should be provided. This paper mainly focuses on the speed control of four quadrant PMDC motor using PI based Artificial Neural Network (ANN) controller. KeywordsPMDC Motor, Hybrid Electric Vehicles, PI, ANN
Retirement Ready or Not: Psychosocial Factors that Influence the Decision to Delay Retirement Among Workers 60 and Older in Westchester County

The purpose of this sequential explanatory mixed methods study was to examine psychosocial factors such as meaning of work, work-role attachment, activities in retirement, and retirement planning, education programs, and retirement attitudes that influence the decision to delay retirement among workers 60 and older in Westchester County. A 36 item web-based Delayed Retirement Questionnaire (DRQ) collected quantitative data from a sample of (N=53) respondents and qualitative data was collected through two focus groups with (N=15) participants. The findings helped to determine whether non-health and financial factors influence the decision to delay retirement. The findings indicated that finances were a key consideration in the decision to delay the retirement. Other contributing factors that influenced the retirement decision included personal, social, financial and generative factors associated with the meaning of work. The results revealed that work-attachment dimensions of job satisfaction, career and organizational commitment did not singularly show a relationship with the decision to delay retirement. However, the combination of meaning of work and work-role attachment showed a relationship between these two variables as factors that contributed to the decision to delay retirement. Psychosocial factors such as employment tenure, number of years of collecting Social Security benefits, and retirement attitudes had statistical significant in showing a relationship with the delayed retirement decision. This study may offer practical vi knowledge for individuals, organizations, human resource professionals, retirement educators, and policymakers to address the growing delayed retirement phenomenon. Document Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership First Supervisor Jerry Willis Second Supervisor John Migliaccio Subject Categories Education This dissertation is available at Fisher Digital Publications: https://fisherpub.sjfc. edu/education_etd/119 Retirement Ready or Not: Psychosocial Factors that Influence the Decision to Delay Retirement Among Workers 60 and Older in Westchester County By Dozene Z. Guishard Submitted in partial fulfillment of the requirements for the degree Ed.D in Executive Leadership Supervised by Dr. Jerry Willis
Referral pathways between the mental health services and Jigsaw

Objectives To examine similarities and differences in the demographic and clinical profiles of young people (15–25 years of age) referred between the mental health services (MHS) and Jigsaw Galway. Methods A retrospective chart review was conducted of clinical files of individuals attending secondary MHS who had been referred to or from Jigsaw Galway over a 5-year period. Differences in demographic and clinical data between individuals referred to or from Jigsaw Galway were compared. Results A recent act of self-harm was more prevalent in individuals referred from Jigsaw to the adult MHS (p=0.02). No other demographic or clinical differences were detected between individuals attending Jigsaw Galway and the MHS. Conclusions Education sessions for clinical staff working in primary care, Jigsaw Galway and the MHS are suggested to support clinicians in choosing the best referral pathway, which may more optimally address young people’s mental health difficulties.
Machine learning approaches for small data in sensor fusion applications

Machine learning approaches like deep neural networks have proven to be very successful in many domains. However, they require training on a huge volumes of data. While these approaches work very well in a few selected domains where a large corpus of training data exists, they shift the bottleneck in development of machine learning applications to the data acquisition phase and are difficult to use in domains where training data is hard to acquire. For sensor fusion applications in coalition operations, access to good training data that will be suitable for real-life applications is hard to get. The training data sets available are limited in size. For these domains, we need to explore approaches for machine learning which can work with small amounts of data. In this paper, we will look at the current and emerging approaches which allow us to build machine learning models when access to the training data is limited. The approaches examined include statistical machine learning, transfer learning, synthetic data generation, semi-supervised learning and one-shot learning.