Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESMENT OF LEADERSHIP DEVELOPMENT: CROSS-CULTURAL ASPECTS ОЦІНКА РІВНЯ РОЗВИТКУ ЛІДЕРСТВА: КРОС-КУЛЬТУРНІ АСПЕКТИ

Key challenges for management at the global level are developing a new generation of cross-cultural leaders, attracting and retaining talents in the country. Within the framework of cross-cultural business environment, the authority of the leader and his personal growth appears to be key factors of leadership effectiveness. Developing a new generation of leaders, attracting and retaining talent are key challenges for leaders at the global level. That is, in modern conditions, formation of effective leader-ship in a cross-cultural space becomes actual with the process of deeper internationalization of business. The quantitative assessment of the development of leadership levels, taking into account cross-cultural characteristics was carried out. The main concept of this assessment is that the higher the value and the more dominant the manifestation of stimulants, the higher the level of leadership development. Based on this assessment, the liminal values of dominant cross-cultural factors contributing to the development of leadership in the company were determined. In addition, five levels of leadership development, which are classified in this assessment, describe the stages of personal growth of every leader. The development level of leadership was determined in countries like Vietnam, North Korea, India, Kazakhstan, Mongolia, Ukraine, China, Sweden, South Korea, USA and Finland. Companies, which are not leaders and not outsiders in n a particular business area of the country but have stable status and with headquarters in the respective country, were chosen for analysis. It is determined that the lowest level of leadership development is observed in companies of Vietnam and North Korea (the first level). In companies of India and Kazakhstan the second level of leadership development was predominantly formed. The third level of leadership development in personnel management is inherent in the management system of companies in Mongolia, Ukraine and China. In addition, the fourth level of leadership development is determined in companies of Sweden and South Korea. The highest level of leadership development (the fifth) is observed in the management system of companies in Finland and the USA. The determined levels form the basis for cross-cultural characteristics of the leadership development of these countries.
for Shape As Points: A Differentiable Poisson Solver

In this supplementary document, we first provide derivation details for our Differentiable Poisson Solver in Section 1. In Section 2, we provide implementation details for our optimization-based and learning-based methods. Next, we supply discussions on the easy initialization property of our ShapeAs-Points representation in Section 3. Additional results and ablations for the optimization-based and learning-based reconstruction can be found in Section 4 and Section 5, respectively.
International Journal of Applied Power Engineering (IJAPE)

Received Apr 12, 2021 Revised Dec 24, 2021 Accepted Jan 2, 2022 Planning of the demand response has received special attention due to the cost of transmission lines development and shortage of energy resources beside the growth of demand. This research work is focused on the role of microgrid (MG) as an alternative solution for transmission system development and proposed a method for modeling of MGs in the capacity market. The results show that using of MGs leads to reduce the development costs of transmission system. Moreover, MGs cause a slight increase in the profitability of selling capacity to the consumers. These outcomes prove that continuing to grow the number and capacity of MGs in each area ultimately eliminate the inquiry of transmission network development and minimize the cost of capacity market.
Impact of None Pharmaceutical Interventions on COVID-19 in Nigeria, The Bayelsa Experience 2020

Background: Since the world encountered the Covid-19 pandemic it has left at least about 1 million people dead with 31, 110, 400 confirmed infections and still counting with no vaccine prequalified for use worldwide. Most disturbing is the pre-symptomatic and oglio-symptomatic transmission of the virus, found in the upper respiratory tract. Best current attempts at controlling SARS-CoV-2 spread are focused on none pharmaceutical interventions that reduce rates of viral transmission. The government of Nigeria on March 29 2020, announced plans to initiate a national lockdown with various states to modify and implement the process. Methods: The epidemiologic study utilized secondary data collated from inception of Covid-19 Emergency Operations Centre, (EOC) Incident Committee of Bayelsa State and analysed same for demographic qualities of structured age and sex of confirmed and probable cases. The case fatality across age groups and the effect on the lockdown on the epidemiologic curve was assessed. Exclusion criteria, was all incomplete data on the dashboard as at 8 October, 2020. Result: A total of 2193 suspects were tested which represent about 0.1 percent of the total population of the State, 53.5 % were female and 18.3% tested positive of the suspects with 38.7% as female. Case fatality for confirmed and probable cases was 4.4% with age group >59 more at risk of death from covid-19 even though more patients with milder disease were found among age group <40. A total of over 10, 000 deaths were save from over 28, 000 infection. Conclusions: Risk of death from covid-19 is reduced with youth. The epidemiological curve demonstrated that cases and rate of transmission was reduced as the lockdown lasted. The lockdown mitigated and suppressed the spread of Covid-19 across the Local Government Areas of Bayelsa State. The Government ought to be applauded for this initiative, as several lives where save.
Reproducibility of ”Pixel-wise Anomaly Detection in Complex Driving Scenes ” for ML Reproducibility Challenge 2021

The following paper is a reproducibility report for Pixel-wise Anomaly Detection in Complex Driving Scenes [4] 2 published in CVPR 2021 as part of the ML Reproducibility Challenge 2021. We reproduced the results quantitatively, 3 performed ablation studies, re-implemented the model in PyTorch Lightning and integrated WandB[1]. 4 Links: PyTorch Repository, PyTorch Lightning Repository, & Our WandB Report. 5 Scope of Reproducibility 6 Our efforts are focused on validating the authors’ proposed anomaly segmentation framework, which employs the latest 7 re-synthesis approaches[8] and extends them to incorporate the advantages of uncertainty estimation methods
A Diverse and Interpretable Benchmark for Viti-and Vini-cultural Visual Understanding

We present four new datasets for viticultural and vinicul-tural visual understanding: iVineyard, iCellar, iGrapevine, and VinePathology. We designed, gathered data for, cleaned, and provided numerical and natural language annotations for these datasets in collaboration with domain experts with the aim of (1) accelerating AI adoption in the realms of viticul-ture and oenology; (2) improving data efficiency and inter-pretability with data collection, task formulation, and annotation processes informed by domain expertise; (3) benchmarking the performance of representation learning algorithms on a suite of challenging downstream viti-and vini-cultural tasks that go beyond standard species classification. We provide analyses of qualitative and quantitative results of downstream tasks including fine-grained visual categorization, fine-grained image retrieval, image geo-localization, and object discovery, thus shedding light on the strengths and weaknesses of feature representations across a diverse set of tasks that are of scientific importance to viticulturists and oe-nologists.
The Effect of Intellectual Capital on Innovation and Performance of Companies Listed on B3 S/A

The research aims to investigate the effect of intellectual capital on innovation and performance of companies listed on B3 S/A. To this end, statistical results were analyzed for three hypotheses: IC positively influences performance (H1); IC positively influences innovation (H2); and innovation positively influences performance (H3). Based on the PLS-SEM method and the Robust Path Analysis technique, with the aid of the WARPPLS software (version 3.0), the data of 142 companies listed on B3 S/A, in the period from 2010 to 2020, in relation to the variables: degree of intagibility (intellectual capital); intangible (innovation); Tobon‟s Q, Ebitda Margin, ROE and revenue growth (performance); sector, size, age and year (control variables) were tested. The adjustment results confirm the quality and explanatory power of the model, confirming the three formulated hypotheses. Thus, the analyses demonstrate the contribution of IC to innovation, as well as to the organizational performance of companies.
etection of erythropoietin in human eminal plasma

7 eceived April 21, 2003; evised and accepted July 3, 2003. upported by Grants-inid for Scientific Research 13671712, 13671713, 3877273, and 12671596) rom the Ministry of ducation, Science, and ulture of Japan (Tokyo, apan) and Akaeda edical Research oundation, Tokyo. eprint requests: Koichiro himoya, M.D., Ph.D. epartment of Obstetrics nd Gynecology, Osaka niversity Graduate School f Medicine, 2-2 Yamadaka, Suita City, Osaka 565871, Japan (FAX: 81-6879-3359; E-mail: himoya@gyne.med.osaka-
The Power of Prototypes in Foresight Engineering

Prototyping has long been a popular method in engineering and design practice. The continued use of physical prototyping is based on its strength in helping teams to make ideas tangible, iterate quickly at a low cost, and develop a shared language. Over the past seven years, our team has used prototyping in an industry-research program focused on foresight engineering? the development of new products and services that are three or more product cycles in the future. Through the discussion of three international cases drawn from India, Europe and the United States, this paper offers insight into the value and application of physical prototypes earlier in the innovation process and before the traditional handoff from strategy to product design. In summary, physical prototypes are exemplary tools for envisioning complex systems, serving an unmet need in helping teams explore potential service applications, and helping reveal the path of progression from today's solutions to tomorrow's opportunities.
Text Mining on Electronic Medical Record

— Fast advancement in computerized information obtaining procedures have prompted immense volume of information extraction of text. Most of the data is composed of either unstructured or semi-structured form of text. To make this unstructured form of data into structured form using text mining, natural language process (NLP) techniques and machine learning algorithms are used. Cancer based text are in the form of Electronic Health Record (EHR/EMR) and there are tools to extract the text. Health care and clinical practice create a lot of content manifestations, test results, analyse, medicines, also, results for patients. This clinical content, reported in wellbeing records, is a potential wellspring of information and an underused asset for improved social insurance. To improve understanding consideration, information on demonstrative, prognostic, inclining, and medication reaction markers are fundamental. In this paper explored different text mining approaches using machine learning, natural language processing and data mining techniques
Study, analysis and application of optical OFDM, single carrier (SC) and MIMO in intensity modulation direct detection (IM/DD)

With the rapid growth of wireless data demands and saturation of radio frequency (RF) capacity, visible light communication (VLC) has become a promising candidate to complement conventional RF communication, especially for indoor short range applications. However the performance of the system depends on the propagation and type of system used. We study four cells optical system where the intensity modulated beam from light sources can be concentrated in specific areas to serve multiple mobile devices with low interference and hence increase system capacity. We then compare the performance of asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM), direct current biased optical OFDM (DCO-OFDM) and single carrier (SC) modulation schemes in single and multiuser systems.
Bacteriological Contamination in Different Drinking Water Sources of Katihar District and Its Health Impacts

Bacteria in our drinking water are one of the main sources of waterborne diseases all over the world. Our study was aimed to investigate the extent of bacterial contamination in different drinking water sources (Tubewell, Dugwell, Municipal supply, Railway supply and River Ganga. The potable quality of drinking water was assessed from some of the villages of four blocks (Katihar, Manihari, Amdabad and Barari block) of Katihar district. The experiment was conducted during March 2013 to Feb 2015. Total bacterial density was recorded higher in river Ganga water (0.89×10L to 10.10×10L) followed by dugwell (0.56×10L to 2.62×10L), municipal supply(0.18×10L to 1.21×10L, tubewell (0.15×10Lto 1.96×10L)and railway supply water(0.04×10Lto 1.21×10L). Using MPN test the highest coliform count was (22 to 1612/100ml) inriver Ganga water and faecal coliform (00 to 395/100ml)in dugwell water. In the present investigation 13 bacterial species were identified. E. coli, S. faecalis, C. perfringens, P. vulgaris etc were found almost in every water sources. Our study concludes that drinking water of river Ganga and dugwell was greatly contaminated with coliform and faecal coliform and major improvements on priority basis is essential.
COMPLEXITY IN HEALTHCARE: EMERGING CHALLENGES FOR HEALTHCARE LEADERSHIP ROLES

Healthcare industry is continuously evolving to adapt to pandemic, epidemic, demographic and societal shifts challenges. There is an emerging leadership challenges due to COVID-19 pandemic for healthcare managers. To respond to the present COVID-19 pandemic challenges, health leaders and managers must develop capabilities. The success of an organization relies heavily on the efficient and effective processes of its management team. An integral part of a strategy to improve an organization's leadership process is the identification of individuals who have the capability to be effective leaders at all levels of an organization. The aim of the paper is to examine the complexity in healthcare institutions, current and emerging challenges for health leadership in healthcare organizations. Index Terms Complex adaptive systems, Patient safety Culture, Patient Outcomes, and Nursing Leadership.
[SoK] Identifying Mismatches Between Microservice Testbeds and Industrial Perceptions of Microservices

Industrial microservice architectures vary so wildly in their characteristics, such as size or communication method, that comparing systems is difficult and often leads to confusion and misinterpretation. In contrast, the academic testbeds used to conduct microservices research employ a very constrained set of design choices. This lack of systemization in these key design choices when developing microservice architectures has led to uncertainty over how to use experiments from testbeds to inform practical deployments and indeed whether this should be done at all. We conduct semi-structured interviews with industry participants to understand the representativeness of existing testbeds’ design choices. Surprising results included the presence of cycles in industry deployments, as well as a lack of clarity about the presence of hierarchies. We then systematize the possible design choices we learned about from the interviews, and identify important mismatches between our interview results and testbeds’ designs that will inform future, more representative testbeds.
A full-process intelligent trial system for smart court

In constructing a smart court, to provide intelligent assistance for achieving more efficient, fair, and explainable trial proceedings, we propose a full-process intelligent trial system (FITS). In the proposed FITS, we introduce essential tasks for constructing a smart court, including information extraction, evidence classification, question generation, dialogue summarization, judgment prediction, and judgment document generation. Specifically, the preliminary work involves extracting elements from legal texts to assist the judge in identifying the gist of the case efficiently. With the extracted attributes, we can justify each piece of evidence’s validity by establishing its consistency across all evidence. During the trial process, we design an automatic questioning robot to assist the judge in presiding over the trial. It consists of a finite state machine representing procedural questioning and a deep learning model for generating factual questions by encoding the context of utterance in a court debate. Furthermore, FITS summarizes the controversy focuses that arise from a court debate in real time, constructed under a multi-task learning framework, and generates a summarized trial transcript in the dialogue inspectional summarization (DIS) module. To support the judge in making a decision, we adopt first-order logic to express legal knowledge and embed it in deep neural networks (DNNs) to predict judgments. Finally, we propose an attentional and counterfactual natural language generation (AC-NLG) to generate the court’s judgment.
A Randomized, Double-Blind, Multicenter, Noninferiority Study Comparing Paliperidone Palmitate 6-Month Versus the 3-Month Long-Acting Injectable in Patients With Schizophrenia

Abstract Background This double-blind (DB), randomized, parallel-group study was designed to evaluate efficacy and safety of paliperidone palmitate 6-month (PP6M) formulation relative to paliperidone palmitate 3-month (PP3M) formulation in patients with schizophrenia. Methods Following screening, patients entered an open-label (OL) maintenance phase and received 1 injection cycle of paliperidone palmitate 1-month (PP1M; 100 or 150 mg eq.) or PP3M (350 or 525 mg eq.). Clinically stable patients were randomized (2:1) to receive PP6M (700 or 1000 mg eq., gluteal injections) or PP3M (350 or 525 mg eq.) in a 12-month DB phase; 2 doses of PP6M (corresponding to doses of PP1M and PP3M) were chosen. Results Overall, 1036 patients were screened, 838 entered the OL phase, and 702 (mean age: 40.8 years) were randomized (PP6M: 478; PP3M: 224); 618 (88.0%) patients completed the DB phase (PP6M: 416 [87.0%]; PP3M: 202 [90.2%]). Relapse rates were PP6M, 7.5% (n = 36) and PP3M, 4.9% (n = 11). The Kaplan-Meier estimate of the difference (95% CI) between treatment groups (PP6M − PP3M) in the percentages of patients who remained relapse free was −2.9% (−6.8%, 1.1%), thus meeting noninferiority criteria (95% CI lower bound is larger than the pre-specified noninferiority margin of −10%). Secondary efficacy endpoints corroborated the primary analysis. Incidences of treatment-emergent adverse events were similar between PP6M (62.1%) and PP3M (58.5%). No new safety concerns emerged. Conclusions The efficacy of a twice-yearly dosing regimen of PP6M was noninferior to that of PP3M in preventing relapse in patients with schizophrenia adequately treated with PP1M or PP3M. Trial Registration Clinical Trials.gov identifier: NCT03345342
Characterization of grazing behaviour microstructure using point-of-view cameras

Grazing patterns, intake structure, and diet selection are dynamic responses to animals’ feeding environment. This study uses video sequences from animal-borne cameras to capture time- and scale-dependent grazing behaviour variables related to sward explanatory conditions. We observed grazing ‘through’ the sheep’s eyes using point-of-view (POV) cameras coupled with event logging software. Time-specific sward features were measured by sampling ‘really’ grazed patches identified by applying a global navigation satellite system (GNSS) precision-grazing approach. Sward variables on a Mediterranean native sward were measured for two years during the active spring plant-growth cycle. Overall, the results demonstrate that POV cameras were able to capture grazing behaviour fine-tuning to changes in sward characteristics. Sheep compensate for the decrease in sward quantity and nutritive value by increasing the size and duration at each behavioural scale (i.e., meal, bout, and station) while increasing the bout rate and decreasing the station rate. Diet composition also changed as sward matured. The proportion of forbs in the diet remained high in early and late spring, and forbs and legumes were preferred to grasses in early spring. Grazing selectivity was more pronounced in late spring, with sheep favouring the middle stratum of the sward’s vertical structure, preferring green vegetative material, while enlarging the feeding niches’ span and spending more time at each niche, consequently reducing the station rate. Although data collected by individual animal-borne POV cameras were representative of the flock behaviour, they may underestimate the total grazing time outside major meals. The results indicate that the use of animal-borne video cameras is suitable for assessing variations in sheep grazing behaviour patterns in complex swards.
Implications of hedonic effects of opioids in clinical practice

of nociplastic pain such as opioid nonresponsiveness or nonresponsiveness to surgery intended to relieve pain [as reviewed in Refs. 2,3]. However, it should be pointed out that the comorbidities are not absolutely necessary for the classification of nociplastic pain per se. They are only required for the grading of diagnostic certainty for nociplastic pain. Dr. Cohen’s argument that a descriptor of pain is a hypothesis of a mechanism, which in the cases of nociceptive and neuropathic pain, has been replaced by concrete confirmation, is surprising. As stated in the article on nociplastic pain, where Dr. Cohen is shared first author, it is well recognized that while underlying pathology can usually be documented for nociceptive and neuropathic pain, the relationship between that pathology and pain mechanisms remains elusive. On the contrary, objective evidence of altered nociceptive processing has not only been documented in conditions characterizedbynociplastic pain but hasalsobeen related topain severity [see references in 3], thus supporting the clinical relevance of the term. We agree with Dr. Cohen that “new concepts in the science underpinning nociception and thepractice of painmedicine require careful explication and step-wise logical development,” which is why we took care to clarify the relationships between different clinical terms. Contrary to the statement of Dr. Cohen, we never suggested that the ICD-11 concept of chronic primary pain would be synonymous to nociplastic pain because “nociplastic” is a mechanistic term while “primary pain” is a diagnostic concept. However, nociplastic pain harmonizes with the current view that certain forms of chronic pain are best understood as conditions or diseases of their own, rather than symptoms of other underlying pathology or disease, reflected in ICD-11 classification of primary pain (disease) and secondary pain (symptom). Finally, as nociplastic pain is a term intended for clinical use, we consider it appropriate to provide the readers with examples of conditions where this type of pain may typically feature, eg, fibromyalgia, complex regional pain syndrome type1, other instances of “musculoskeletal” pain such as “nonspecific” chronic lowback pain, and visceral pain disorders such as irritable bowel syndrome and bladder pain syndrome, all classifiedaschronicprimarypain conditions in the ICD-11. This is nomore “conflating” nor “unacceptable logically” than stating that nociceptive pain is typically present in severe osteoarthritis or neuropathic pain in patients with painful polyneuropathy, conditions classified as secondary pain in the ICD-11.