nils-herrmann/clean_scirepeval huggingface dataset:
Patient Centered Strategies to Improve Radiographic Practice for Patients with Down Syndrome: A Systematic Review.
Venue: Journal of medical imaging and radiation sciences

Down syndrome is a common human genetic disorder caused by trisomy of chromosome 21. Individuals with Down syndrome can present with a range of health issues during their lives that may require imaging for diagnosis. Radiographers, therefore, play a significant role in the management and communication of Down syndrome patients' health.  This review identified patient centered strategies that radiographers should use to provide quality imaging services for Down syndrome patients, who may have limited verbal ability and behavioral issues.  A systematic review using the established PRISMA guidelines was undertaken of current literature obtained through the Ovid and Scopus databases. A total of 189 articles were found, of which 41 were categorized and analyzed in detail.  A high level of care for Down syndrome patients will require longer than usual procedures, and the patients will not respond well to being rushed or ignored. Down syndrome patients have difficulty verbalizing, yet they understand more than is often thought. Individuals may require increased imaging time to give them time to respond, especially to pain. Patients are at risk of injury with AAI or other pathologies, and caution should be taken with flexion and extension spine x rays. Radiographs may reveal undisclosed physical abuse.  Specific strategies with verbal and nonverbal communication help to facilitate communication, reduce anxiety and fear, and improve compliance with Down syndrome patients. Patients may require an increased level of care; increased imaging time; and allowing support people to be present during the examination process.
Women Entrepreneurship of Bangladesh: A Contextual Study on Beauty Parlor Business of Rangpur Expanse

Women can play imperative role to economies of a country from any derivation of glassy. Bangladesh is a developing country, the women of Bangladesh is deprived and discriminated for many reasons. But it is an optimistic achievement is that they are now levitation their action to empower themselves. By this study it is shown that general status of women entrepreneurship of Bangladesh special deliberation of Rangpur region from the scenarios and the problems of the beauty parlor business of north Bengal. About 96.67% beauty caring women customer using these services on the other hand most of the beauty parlor is dominated by the women. 75% beauty parlor is maintained by the sole proprietorship. Moreover the women of this region is very aware of their self reliant matter besides facing some social problems, ethical problem, funding problem, women business recognition problem, accommodation setting problem lacking of overall assistant ship of the government specially focusing on the beauty parlor business expansion that spectacles as one of the best portion of women entrepreneurship pictures of Bangladesh. To ascertain the gist figures it is steered open ended question at the outset and secondary data as per the requirements of descriptive analysis of the study. The study acclaimed a model (Sbs model) that developed by the author for the enactment of business corresponding beauty parlor business in Bangladesh for several concerns that may relax to the women who are involved of such business and who wants to. At all this study cognize the subjects of beauty parlor business of Bangladesh of the north Bengal about the problems and prospects issues to empower the women and intensifying women entrepreneurship of Bangladesh.
Self Employment through Beauty Parlor Business: Vindication from Women Entrepreneurs of Agartala

The study attempts to report the motivating factors of women entrepreneurs of Agartala to become self employed through beauty parlor business and to assess their strategies for sustainability in a competitive environment. Using cross sectional research design, a survey through interview Schedule comprising of 52 questions is executed for data collection with a randomly chosen 83 sample respondents. The data has been tested for its reliability and validity followed by a protocol interview and pilot study before the final execution. A model has been formed and the data reduction test is carried out through Factor analysis. Cross tabulation, Correlation analysis, Simple and Multiple Regression analysis have been performed to assess support for the hypotheses. The empirical results document that age, education, family background, and business expertise have motivated the respondents to start the business. Again, the push factors motivate more than the pull factors and they apply a number of strategies to increase customer satisfaction as well as sustainability. Policy relevance is drawn and the study acknowledges few shortcomings like the small sample size, study area and period, selective variables and the limitations of statistical tools while generalizing the results. It also indicates the future research directions.
Beauty parlor stroke revisited: An 11 year single center consecutive series
Venue: International journal of stroke official journal of the International Stroke Society

Hairdresser related ischemic cerebrovascular events (HICE) are attributed to compression of vertebral arteries or cervical artery dissections. We determined their frequency, mechanisms, localization and outcome in a pre specified study.  We prospectively collected ischemic strokes and transient ischemic attacks occurring in relation to a hairdresser visit from 2002 to 2013, using consecutive data from an ischemic stroke registry (ASTRAL) HICE were compared to all other acute ischemic strokes in ASTRAL.  We identified 10 HICE (9 strokes and 1 transient ischemic attack) Age and anterior posterior distribution were similar with a significantly higher rate of females (90% vs. 43% p 0.02) in the HICE group compared to ASTRAL. Patients with HICE had significantly lower incidence of hyperlipidemia (30% vs. 73% and diabetes (0% vs. 19% The mechanisms of HICE were diverse: carotid artery dissection (n 2) cardiac (n 2) lacunar (n 2) other determined (n 2) and unknown etiology (n 2) Two HICE with atherosclerotic intracranial disease were possibly caused by acute hemodynamic changes related to systemic hypotension during hot air hair drying. Unadjusted favorable outcome at three months seemed to be better in HICE (90% vs. 57% and 12 month mortality and recurrences were similar.  HICE may occur frequently in females without a predilection for the posterior circulation. Although some HICE may occur by chance (pseudo HICE) hairdresser visits may have a causal role in some cases, including cervical artery dissection or hemodynamic compromise related to pre existing arterial disease (true HICE) Available data are insufficient for specific preventive recommendations.
Keynote: Deep learning for audio based music recommendation
Venue: DLRS@RecSys

The advent of deep learning has made it possible to extract high level information from perceptual signals without having to specify manually and explicitly how to obtain it; instead, this can be learned from examples. This creates opportunities for automated content analysis of musical audio signals. In this talk, I will discuss how deep learning techniques can be used for audio based music recommendation, with which we can tackle the item cold start problem that burdens the prevailing collaborative filtering approaches.
Protective effects of Celastrol on diethylnitrosamine induced hepatocellular carcinoma in rats and its mechanisms.
Venue: European journal of pharmacology

Celastrol, an active ingredient of Tripterygium Wilfordii, is a traditional Chinese medicinal herb, which has attracted interests for its potential anti inflammatory and anti cancer activities. The aim of this study was to evaluate the anti tumor effect of Celastrol against diethylnitrosamine (DEN) induced hepatocellular carcinoma (HCC) in rats and furthermore, to explore the underlying mechanism. Sprague Dawley rats were intragastrically administered with DEN (10mg/kg) for 6 days every week and persisting 16 weeks. The number of nodules was calculated. Hematoxylin Eosin (HE) staining was used to evaluate the hepatic pathological lesions. The levels of serum alanine aminotransferase (ALT) glutamic oxalacetic transaminase (AST) alkaline phosphatase (ALP) and alpha fetoprotein (AFP) were analyzed by Elisa kits, and the protein levels of p53, Murine double minute (MDM) 2, Bax, Bcl 2, Bcl xl, cytochrome C, Caspase 3, Caspase 9 and Poly (ADP ribose) polymerase (PARP) were analyzed by western blot. The results showed that Celastrol could significantly decrease the mortality, the number of tumor nodules and the index of liver in the Celastrol groups compared with DEN treated group. Moreover, Celastrol obviously improved the hepatic pathological lesions and decreased the elevated levels of ALT, AST, ALP and AFP. Meanwhile, Celastrol suppressed the expression of the protein MDM2, activated the intrinsic mitochondrial apoptosis pathway induced by p53, inhibited anti apoptotic Bcl 2 and Bcl xl, induced the pro apoptotic Bax, cytochrome C, PARP and caspases. These results suggested that Celastrol had a good therapeutic action in reversing DEN induced HCC rats, which may be associated with the apoptosis of hepatoma cells induced by Celastrol.
Spheroid cancer stem cells display reprogrammed metabolism and obtain energy by actively running the tricarboxylic acid (TCA) cycle
Venue: Oncotarget

The Warburg effect is a metabolic hallmark of cancer cells; cancer cells, unlike normal cells, exclusively activate glycolysis, even in the presence of enough oxygen. On the other hand, intratumoral heterogeneity is currently of interest in cancer research, including that involving cancer stem cells (CSCs) In the present study, we attempted to gain an understanding of metabolism in CSCs that is distinct from that in non CSCs. After forming spheroids from the OVTOKO (ovarian clear cell adenocarcinoma) and SiHa (cervical squamous cell carcinoma) cell lines, the metabolites of these cells were compared with the metabolites of cancer cells that were cultured in adherent plates. A principle components analysis clearly divided their metabolic features. Amino acids that participate in tricarboxylic acid (TCA) cycle reactions, such as serine and glutamine, were significantly increased in the spheroids. Indeed, spheroids from each cell line contained more total adenylates than did their corresponding cells in adherent cultures. This study demonstrated that cancer metabolism is not limited to aerobic glycolysis (i.e. the Warburg effect) but is flexible and context dependent. In addition, activation of TCA cycles was suggested to be a metabolic feature of CSCs that was distinct from non CSCs. The amino acid metabolic pathways discussed here are already considered as targets for cancer therapy, and they are additionally proposed as potential targets for CSC treatment.
Black Box Policy Search with Probabilistic Programs
Venue: AISTATS

In this work, we explore how probabilistic programs can be used to represent policies in sequential decision problems. In this formulation, a probabilistic program is a black box stochastic simulator for both the problem domain and the agent. We relate classic policy gradient techniques to recently introduced black box variational methods which generalize to probabilistic program inference. We present case studies in the Canadian traveler problem, Rock Sample, and a benchmark for optimal diagnosis inspired by Guess Who. Each study illustrates how programs can efficiently represent policies using moderate numbers of parameters.
Intelligent demand forecasting supported risk management systems for fast fashion inventory management

Fast fashion is a well established and prominent business model in the fashion industry. Featuring products with a very short life cycle is the common characteristic of any fast fashion operations. With this characteristic, fast fashion companies have to face very high demand uncertainty. As a result, fast fashion companies have to carefully forecast the product demand and incorporate risk measures into their inventory planning model. In this chapter, we first examine these related issues. Then, we propose a novel fast fashion demand forecasting based risk minimization inventory control model. Finally, we discuss future research directions.
Strategic values of technology driven innovation in inventory management: a case study of Zara's RFID implementation

Inventory management has always been at the top of the agenda in the fast fashion business. Companies compete largely on strategic inventory management, which empowers quick market responsiveness. Much interest has recently been aroused by the use of radio frequency identification (RFID) in enabling product visibility along the supply chain. This paper presents a case study of Zara's RFID deployment, one of the largest scale implementations in the industry, based on secondary data. It explores how Zara's RFID adoption aligns with its existing supply chain structure, business model and IT infrastructure. By drawing on the IT value hierarchy model (Urwiler and Frolick, 2008) in information systems literature, this paper creates a showcase for technology enabled innovation that brings competitive differentiation in the context of inventory management in the fast fashion industry.
Network methods for inventory management in capacity constrained retail stores

Zara leads the fast fashion industry introducing over 12,000 unique items per year [5] selling in over 2,000 stores and generating 411.6 Bn in yearly sales  Critical to this success, Zara's Distribution Department continually focuses on improving the algorithms and programs which the company uses to move clothing through the supply chain. Demand variability and short product lifecycles make this task extremely challenging, especially when coupled with limited storage space in many Zara stores. This thesis helps stores which are challenged by low storage capacity and high consumer demand by testing three inventory management methods. The first method creates a virtual cost in the inventory redistribution algorithm, which decreases the likelihood that an over capacity store will hold an item. This method decreased the amount of post transfer inventory by 15 in capacity constrained stores while only experiencing a .1% loss of profits when compared to the current process. The second method opens new transfer routes for capacity constrained stores to move inventory into stores which benefit from the additional items, while reducing the non performing stock at the capacity constrained store. These store to store routes quickly transfer items while reducing the stock of the origin store. The final method improves existing capacity returns, which automatically move inventory from capacity constrained stores back to the Distribution Center. The new method optimizes the selection of items to improve redistribution to other stores, resulting in additional full priced sales, while removing the same amount of items from the origin store. The implementation of these processes will reduce stock management problems experienced at Zara stores, while ensuring that other stores have the opportunity to sell at full price.  William F. Pounds Professor of Management Science MIT Sloan School of Management Thesis Supervisor: Abbott Weiss Title: Senior Lecturer MIT Department of Mechanical Engineering
Non Invasive Lung IMPEDANCE Guided Preemptive Treatment in Chronic Heart Failure Patients: A Randomized Controlled Trial (IMPEDANCE HF Trial)
Venue: Journal of cardiac failure

Previous investigations have suggested that lung impedance (LI) guided treatment reduces hospitalizations for acute heart failure (AHF) A single blind 2 center trial was performed to evaluate this hypothesis (ClinicalTrials.gov NCT01315223)  The study population included 256 patients from 2 medical centers with chronic heart failure and left ventricular ejection fraction =35% in New York Heart Association class II IV, who were admitted for AHF within 12 months before recruitment. Patients were randomized to a control group treated by clinical assessment and a monitored group whose therapy was also assisted by LI, and followed for at least 12 months. Noninvasive LI measurements were performed with a new high sensitivity device. Patients, blinded to their assignment group, were scheduled for monthly visits in the outpatient clinics. The primary efficacy endpoint was AHF hospitalizations; the secondary endpoints were all cause hospitalizations and mortality.  There were 67 vs 158 AHF hospitalizations during the first year (P .001) and 211 vs 386 AHF hospitalizations (P .001) during the entire follow up among the monitored patients (48 32 months) and control patients (39 26 months, P .01) respectively. During the follow up, there were 42 and 59 deaths (hazard ratio 0.52, 95% confidence interval 0.35 0.78, P .002) with 13 and 31 of them resulting from heart failure (hazard ratio 0.30, 95% confidence interval 0.15 0.58 P .001) in the monitored and control groups, respectively. The incidence of noncardiovascular death was similar.  Our results seem to validate the concept that LI guided preemptive treatment of chronic heart failure patients reduces hospitalizations for AHF as well as the incidence of heart failure, cardiovascular, and all cause mortality.
Probabilistic Bag Of Hyperlinks Model for Entity Linking
Venue: WWW

Many fundamental problems in natural language processing rely on determining what entities appear in a given text. Commonly referenced as entity linking, this step is a fundamental component of many NLP tasks such as text understanding, automatic summarization, semantic search or machine translation. Name ambiguity, word polysemy, context dependencies and a heavy tailed distribution of entities contribute to the complexity of this problem. We here propose a probabilistic approach that makes use of an effective graphical model to perform collective entity disambiguation. Input mentions (i.e. linkable token spans) are disambiguated jointly across an entire document by combining a document level prior of entity co occurrences with local information captured from mentions and their surrounding context. The model is based on simple sufficient statistics extracted from data, thus relying on few parameters to be learned. Our method does not require extensive feature engineering, nor an expensive training procedure. We use loopy belief propagation to perform approximate inference. The low complexity of our model makes this step sufficiently fast for real time usage. We demonstrate the accuracy of our approach on a wide range of benchmark datasets, showing that it matches, and in many cases outperforms, existing state of the art methods.
When Insider Trading and Market Manipulation Cross Jurisdictions: What Are the Challenges For Securities Regulators and How Can They Best Preserve the Integrity of Markets?

Over the last few decades world securities markets have become significantly more sophisticated in terms of how securities are traded as well as the variety of securities traded. My hypothesis is that the ability of securities regulators to take enforcement action against market abuse has not kept pace with the level of sophistication of the markets and, in particular, the way in which trading can take place across borders and the manner in which market related information can spread rapidly across the world. I argue that that regulators need to do more to protect the integrity of the markets by improving their efforts to initiate action against market abuse. Furthermore, given the global nature of the problem I argue that the International Organization of Securities Commissions (IOSCO) should be more proactive in coordinating the activities of securities regulators in this regard. I commence with an analysis of why the integrity of securities markets is critical to the economy of a country and why it is necessary for regulators to enforce laws prohibiting market abuse in order to protect market integrity. I then move on to identify the changes to securities markets, the regulatory responses to these changes, trends in the types of market abuse which is taking place across borders and how those responsible for taking enforcement action against such market abuse have responded. Finally I consider IOSCO, its history, how its role has evolved, its impact to date and how IOSCO could build upon its success in terms of improving the enforcement outcomes of securities regulators in relation to market abuse. I conclude that the transformation of the markets have presented opportunities to engage in market abuse across borders and that, while some positive steps have been taken to address this issue, more could be achieved. Finally I discuss and make recommendations about what might be done to improve the ability of securities regulators to take successful enforcement action.
Parameter uncertainty of a dynamic multispecies size spectrum model1

Dynamic size spectrum models have been recognized as an effective way of describing how size based interactions can give rise to the size structure of aquatic communities. They are intermediate complexity ecological models that are solutions to partial differential equations driven by the size dependent processes of predation, growth, mortality, and reproduction in a community of interacting species and sizes. To be useful for quantitative fisheries management these models need to be developed further in a formal statistical framework. Previous work has used time averaged data to "calibrate" the model using optimization methods with the disadvantage of losing detailed time series information. Using a published multispecies size spectrum model parameterized for the North Sea comprising 12 interacting fish species and a background resource, we fit the model to time series data using a Bayesian framework for the first time. We capture the 1967 2010 period using annual estimates of fishing mortality rates as
Implementing a multispecies size spectrum model in a data poor ecosystem
Venue: Acta Oceanologica Sinica

Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size spectrum models are one type of physiologically structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data poor fisheries. As a first step in implementing ecosystem based fisheries management (EBFM) this study built a size spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size spectrum models for future studies of data poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W statistic, LFI (Large fish index) MeanW (mean body weight) and Slope (slope of community size spectra) showed a strong non linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.