Miracle-dz/UniFAR-FTUs huggingface dataset:
THE DEATH OF LAW: ANOTHER OBITUARY

Abstract This essay argues that a defining characteristic of modern law – the distinctive way in which it judges its addressees – will disappear. After sketching the distinctive nature of modern law's judgment, I show that it is part of a broader regulatory paradigm (rule or East Coast regulation) which is itself being superseded. Technological management is the alternative regulatory paradigm and I examine its rise and salience, showing how it might, in combination with the advent of ubiquitous computing, machine learning and artificial intelligence, cure a range of alleged pathologies that mark contemporary legal systems. The essay also demonstrates why technological management is now our regulatory default, its salience flowing from changes in the nature of our thinking about, and deployment of, power. The essay combines the work of Roger Brownsword, a leading contemporary jurist of technological management, with that of the world-renowned social theorist Michel Foucault.
The Research Progress of Nutrient Composition and Functional Component in Chinese Rice Wine

The article summarizes the major Chinese rice wine nutrients, functional ingredients and the main physiological role. Recalling the analysis detection methods of Nutrient Composition and Functional Component in Chinese Rice Wine, make recommendations and outlook of the future composition of nutrients and functional testing. Pointed out that the application of advanced technologies played a decisive role in The Research of Nutrient Composition and Functional Component in Chinese Rice Wine.
Time-Efficient Auditable Blockchain-based Pharma Drug Supply Chain using Delegated Proof-of-Stake

Blockchain technology was originally designed for maintaining financial ledgers, but over time it has found applications in many different fields including healthcare. There are numerous uses for blockchain innovation in the Pharmacy Industries, including encouraging patients, doctors, customers, and drug store organizations to get the clinical records; medicine sharing, improvement of the supply chain, following and detailing of clinical preliminary information, supplier credentialing, nature of-care following, drug estimating procedure following an unsociable event tracking and assessment. In the existing work, the authors have used the most commonly used agreement protocols are Proof-of-Work, Proof-of-Authority, Proof-of-Ownership, and Practical Byzantine Fault Tolerance for implementing Blockchain-enabled pharmacy supply chains. But these protocols incur a large amount of energy and time consumption along with system compromise at times. Hence, there is a need to practice some new and different types of consensus protocols which can produce secure and accurate results without taking much time and energy. To overcome these drawbacks, we have proposed an approach by using Delegated Proof-of-Stake protocol as the consensus mechanism for a Blockchain-based Pharma Drug Supply Chain. The main focus of this paper is to study Delegated Proof-of-Stake as an approach of agreement among the nodes and to compare its efficiency with other existing consensus protocols for their transactions in terms of time consumption. It is clear from the results that there is a considerable divergence in the throughput of the Delegated Proof-of-Stake i.e. 5000-7000 transactions per second where Proof-of-Work gives 300-500 transactions per second and Practical Byzantine Fault Tolerance gives 1600-1900 transactions per second.
Pelvic Sidewall Anatomy in Gynecologic Oncology—New Insights into a Potential Avascular Space

The surgical treatment of gynecological malignancies is, except for tumors diagnosed at the earliest stages and patients’ desire for fertility preservation, not limited to only the affected organ. In cases of metastatic iliac lymph nodes, gynecological tumors or recurrences located near the pelvic sidewall, oncogynecologists should dissect tissues in that region. Moreover, surgery of deep infiltrating endometriosis, e.g., within the sacral plexus, or oncological procedures, such as a laterally extended endoplevic resection or a laterally extended parametrectomy, often require a dissection of the pelvic sidewall. Dissection should be meticulous, and detailed knowledge of anatomy is mandatory. There are many controversies among authors regarding the terminology in the pelvic sidewall. In particular, several imprecise or confusing definitions exist in regard to the region located medially to the psoas major muscle. Therefore, after discussing the anatomy of the pelvic sidewall and the commonly used terminology, we define a new term and boundaries of a potential avascular space, the medial psoas space. Contrary to the variety of earlier definitions, the proposed boundaries relate to a truly avascular space and could help surgeons to avoid complications resulting from misleading anatomical descriptions. Additionally, describing the clear boundaries of and possible anatomical variations in the medial psoas space may urge oncogynecologists to consider different approaches during surgery. The purpose of the present study is to describe the anatomy of the pelvic sidewall and the applications of the medial psoas space in gynecologic oncology.
Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-in Hybrid Electric Vehicles

High-speed permanent magnet (PM) machines have been recognized as a popular choice for plug-in hybrid electric vehicles (PHEVs). Although high-speed operation can enhance the machine power density, more rotor eddy current losses can be expected. Those losses dominantly result from the current harmonics that may vary during the vehicle driving cycles. Therefore, it is crucial to profile the eddy current losses variations, thus identifying the worst case. To achieve this objective, a new indicator, namely the frequency-weighted harmonics distortion (FWTH), is defined correlating with eddy current losses in this paper. Profiling eddy current losses variations by FWTH relieves the computational burden seen in the finite element analysis (FEA) as its derivation simply governs all the current harmonics. Various machine and converter operation conditions are covered in the study. The strong correlations between the addressed FWTH factor and the eddy current losses have been validated from the FEA, and then the experimental results on a 110krpm, 35kW PM machine served in PHEVs. The effectiveness of using FWTH to profile the eddy current losses variations during driving cycles has been proven, where the worst eddy current case has been identified for the tested machine.
O Modelo de Racionamento de Crédito e a Política Monetária Novo-Keynesiana: Uma Análise Crítica

RESUMO O artigo discute e critica o modelo de racionamento de crédito (CRM) e seu uso para apoiar a abordagem nova-Keynesiana da política monetária. Após analisar o funcionamento do modelo nas diferentes fases do ciclo de negócios, conclui-se que: (i) na fase ascendente, o equilíbrio do racionamento da demanda - que é uma condição para a recomendação da política monetária anticíclica no âmbito do CRM - não é plausível como um fenômeno macroeconômico, mas apenas no nível microeconômico; (ii) na fase descendente, embora o racionamento da demanda seja um equilíbrio plausível, não ocorre pela razão alegada pelo CRM (rigidez da taxa de juros), nem atua a favor do mecanismo de transmissão da política monetária. Essas conclusões implicam a rejeição do CRM como base teórica para a análise da política monetária, bem como da nova abordagem Keynesiana sobre esse tema. Finalmente, argumenta-se que, no nível macroeconômico, a contribuição teórica única do CRM é justificar intervenções “verticais” do governo nos mercados financeiros, por meio de políticas de financiamento para setores ou projetos cujos riscos são mais difíceis de estimar, notadamente, em infraestrutura. setores de infraestrutura, P&D e novas tecnologias.
Channel Estimation and Equalization Using FIM for MIMO-OFDM on Doubly Selective Faded Noisy Channels

Orthogonal frequency division multiplexing (OFDM) plays an important role in wireless communication due to its high transmission rate. Information is conveyed across spatial and temporal dimensions through the space-time shift keying (STSK) technique which is basically used to handle multiplexing diversity and gains. On the other hand, index modulation integrated OFDM not only communicates information through conventional signal constellations as in classical OFDM, but also through indexes of the subcarriers. In index modulation, the subcarriers are transmitted over a particular index and can be implemented effectively. The active indices are selected and further information bits transmitted. In this paper, to handle such limitations, the deep neural network (DNN) has been proposed for end-to-end performance. Under the noisy and faded channel scenario, channel state information must be acquired to recover the transmitted signal correctly. To evaluate the channel distortion level, a deep learning model is trained offline from simulated data and then applied to online data to estimate and recover the channel state as well as the transmitted signal, respectively, in comparison to the traditional least minimum mean square error (LMMSE) channel estimation technique. The analysis results demonstrate superiority over the conventional LMMSE for channel estimation and signal detection in wireless communications with complex channel distortion and interference. The mean square error (MSE) is evaluated for carrying out performance information in each subcarrier block and to reduce the detector error rate.
The career paths of researchers in long-term employment on short-term contracts: Case study from a UK university

The career stage between PhD and lectureship, conventionally called “postdoctoral”, has traditionally been seen as transitional. However, with an estimated one third of university researchers in the United Kingdom having been employed on temporary contracts for more than 10 years, the transitional nature of this career stage is questionable. Despite so many research staff being in long-term employment on short-term contracts, the lack of visibility of this population, which does not have a legitimate place within the current academic career structure, means that we do not know how deliberate or accidental their career choices are. Based on semi-structured interviews with long-term researchers (LTRS) at one university in the United Kingdom, this is the first study to investigate the personal and professional circumstances behind the career path of long-term researchers on temporary contracts. Three categories of LTRS were identified: 1) the candidate, who wants to follow the traditional academic career pathway and to secure a lectureship 2) the accidental long-term researcher, who did not or could not plan their career path 3) the career researcher, who sustains a research-only career despite the precarity of such positions. Most participants had belonged successively to two categories. Some obstacles to career progression transcended the categories: inequal access to opportunities for developing one’s teaching portfolio, poor or lack of managerial support, the perceived prestige or lack thereof of one’s field, and bullying and discrimination. We argue that short-termism and lack of visibility play down considerably the contribution of long-term researchers to the financial and academic success of research institutions. We also argue that traditional–but still in place–structures in academia are ill adapted to the contemporary demographics and practices of the research community; we recommend that future studies involve HE sector stakeholders to review and to reform the academic career structure.
Predicting potential distribution of Ziziphus spinosa (Bunge) H.H. Hu ex F.H. Chen in China under climate change scenarios

Abstract Ziziphus spinosa (Bunge) H.H. Hu ex F.H. Chen is a woody plant species of the family Rhamnaceae (order Rhamnales) that possesses high nutritional and medicinal value. Predicting the effects of climate change on the distribution of Z. spinosa is of great significance for the investigation, protection, and exploitation of this germplasm resource. For this study, optimized maximum entropy models were employed to predict the distribution patterns and changes of its present (1970–2000) and future (2050s, 2070s, and 2090s) potential suitable regions in China under multiple climate scenarios (SSP1‐2.6, SSP2‐4.5, SSP3‐7.0 & SSP5‐8.5). The results revealed that the total area of the present potential suitable region for Z. spinosa is 162.60 × 104 km2, which accounts for 16.94% of China's territory. Within this area, the regions having low, medium, and high suitability were 80.14 × 104 km2, 81.50 × 104 km2, and 0.96 × 104 km2, respectively, with the high suitability regions being distributed primarily in Shanxi, Hebei, and Beijing Provinces. Except for SSP‐1‐2.6‐2070s, SSP‐5‐8.5‐2070s, and SSP‐5‐8.5‐2090s, the suitable areas for Z. spinosa in the future increased to different degrees. Meanwhile, considering the distribution of Z. spinosa during different periods and under different climate scenarios, our study predicted that the low impact areas of Z. spinosa were mainly restricted to Shanxi, Shaanxi, Ningxia, Gansu, Liaoning, Inner Mongolia, and Jilin Provinces. The results of core distributional shifts showed that, except for SSP1‐2.6, the center of the potential suitable region of Z. spinosa exhibited a trend of gradually shifting to the northwest.
Research on filtered multi-carrier transmission method for 5G communication system

Aiming at the problem of poor quality of filtered multi-carrier transmission in current 5G communication system, a filtered multi-carrier transmission side for 5G communication system is proposed. Firstly, the cross ambiguity function is used to collect and identify the filtered multi-carrier transmission deviation. Secondly the OFDM synchronization algorithm is used to eliminate noise interference and effectively correct the information. The processing interval of filtered multi-carrier transmission is optimized to ensure the quality of filtered multi-carrier transmission. Finally, the simulation results show that the filtered multi-carrier transmission method for 5G communication system can better ensure the filtered multi-carrier transmission efficiency and security of communication system, and effectively improve the quality of information transmission.
Statistical prediction of tropical storm motion over the Bay of Bengal and Arabian Sea

Statistical analog models for the prediction of tropical cyclone motion have been developed for all of the world's tropical cyclone basins. The popularity and success of these models is related to their ability to optimize the variance reducing potential of climatology and persistence, At the same time, they effectively recognize certain repetitious synoptic patterns without having to use fields of sometimes unavailable and often unreliable synoptic data over the tropics. The analog method can be simulated by the use of continuous function derived through the use of multivariate regression analysis. This method simulates all aspects of the analog process including the derivation of probability ellipses while avoiding certain operational problems inherent to the purely analog approach. This paper describes the derivation of such a model for the north Indian Ocean tropical cyclone basin. It is patterned after an earlier paper (Neumann and Randrianarison 1976) which describes the development of a similar model for the southwest Indian Ocean tropical cyclone basin.
Safety Assessment of Glucose-Lowering Drugs and Importance of Structured Education during Ramadan: A Systematic Review and Meta-Analysis

Background Ramadan is the sacred month of the Islamic Hijri (lunar) calendar, and during this entire month, healthy adult Muslims abstain from eating and drinking from dawn to sunset. Muslims with Type 2 Diabetes Mellitus (T2DM) who choose to fast during Ramadan encounter major risks such as hypoglycemia, hyperglycemia, diabetic ketoacidosis, dehydration, and thrombosis. Although patients with poor glycemic control and on multiple insulin injections are at high risk and exempt from fasting, many still insist on it. Thus, healthcare professionals play a pivotal role in managing diabetes-related complications in patients who fast during Ramadan. However, there is a lack of standard guidelines to be followed in association with structured education and administration of drugs and dosage. Therefore, we performed a systematic review and meta-analysis of the literature to determine the safety and efficacy of different classes of drugs and the importance of structured education during Ramadan. Methods In this review, an extensive PubMed search was performed to obtain literature on T2DM patients who fast during the month of Ramadan until the year 2020. Preference was given to fully downloadable articles. The articles were extracted based on the eligibility criteria. The extracted data were analyzed using Review Manager software version 5.3. Results A total of 32 articles were included for the review and 7 studies for meta-analysis. Majority of the studies demonstrated the importance of structured education either as a group session or as a one-on-one session with the healthcare professionals in preventing diabetes-related risks during Ramadan. As far as glucose-lowering drugs are concerned, DPP-4 inhibitor combined with metformin remains the drug of choice for T2DM patients who fast during Ramadan. The newer class of glucose-lowering agents appear to lower the risk of hypoglycemia in comparison with sulphonylureas, while among sulphonylureas gliclazide is relatively safe. The meta-analysis indicates that DPP-4 inhibitors would significantly reduce the risk of hypoglycemia as compared to sulphonylurea (odds ratio = 0.38, 95% CI: 0.26 to 0.55, p < 0.00001). Conclusion The results of our systematic review show that structured education and counselling by healthcare professionals can be an effective tool in preventing complications associated with fasting during Ramadan in people with T2DM. Additionally, the safest class of oral glucose-lowering drugs preferred during Ramadan fasting in T2DM patients is DPP-4 inhibitors.
Effect of Tool Pin Geometry and Process Parameters During FSW of Dissimilar Alloys of Mg

24, 2022 Effect of two distinctive tool designs along with other tool related parameters including speed of traverse of tool and offset distance of tool pin during friction stir welding of dissimilar AZ91C and AZ31B alloys of Mg were investigated. Experimental recordings revealed that all the joints fabricated during 1 st set of investigations employing cylindrically tapered pin geometry and their offset distances being 0.5 mm or 1mm towards any one of the parent metals possessed flaws. Joint No: II-3 fabricated in 2 nd set of investigations by employing 15mm diameter inner shoulder tool with threaded cylindrical tapered pin geometry at a tool offset distance of 0 mm was found be free from flaws. This joint exhibited a tensile strength of 186 MPa which was 78.81% of AZ91C and 70.72% of another parent metal AZ31B. Existence of intermetallic phased constituents, namely, Mg 17 Al 12 in several regions of fractured surfaces have contributed to the supplementary brittleness in the zone of nugget, and have reduced the tensile strength of
Organizational and legal mechanism of bio-medical emergencies management

This study aims to investigate the features of the concept and practical functioning of the prevention and elimination mechanism of bio-medical emergencies. The biblio-semantic and analytical methods of the set question research are used. The mechanisms of medical and biological character emergencies management depending on the goals of the tools used, as well as recommendations for optimization of this process, were described. According to the study results, we concluded that the provision of sustainable socio-economic society development should go side by side with the creation of a safe environment, ensuring the implementation of modern biosafety systems, and harmonizing with international legislation. There are all conditions for rapid changes in the epidemic situation in many countries with increasing anthropogenic impact on the environment, the resistance of infectious agents to chemotherapeutic and disinfectants, diversity of natural areas and biocoenosis, creating favorable conditions for the long-term existence of focal infections, identification of new forms, increased migration and international trade of food, as well as the spread of natural disasters and catastrophes. One of the ways to strengthen Ukraine's position may be to work on the creation of a risk management system in emergencies and bring legislation into conformity with international and EU legislation.
Two-Point Centroidal Voronoi Tessellations

Summary We give a brief review of 2D, Euclidean, centroidal Voronoi tessellations (CVTs). Dropping to the specific case of two-point CVTs, a rich interaction between calculus, geometry and analysis is uncovered. Narrowing further to “ellipse-like” shapes with order 2 rotational symmetry, a full characterization of possible two-point CVTs is given for these figures. One might expect the CVTs of symmetric figures with even rotational symmetry to always correspond to lines of symmetry of the figure. Surprisingly, this conjecture is false. We close the article showing how to generate counterexamples to this conjecture and provide some direction for further inquiry.
Location Model of Dual Triangle Acoustic Target Based on Information Fusion

The coordinate values and the velocity of hitting point ware simulated by a dual triangle acoustic target model and an information fusion algorithm through detected shock wave signal caused with supersonic projectile in the course of flying.The measurement accuracy was improved by data fuse and experimental calibration.The simulation results show that the method has better efficiency and is suited for firing training in proving ground.
Dysregulation of β-Cell Proliferation in Diabetes: Possibilities of Combination Therapy in the Development of a Comprehensive Treatment

Diabetes mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia as a result of insufficient insulin levels and/or impaired function as a result of autoimmune destruction or insulin resistance. While Type 1 DM (T1DM) and Type 2 DM (T2DM) occur through different pathological processes, both result in β-cell destruction and/or dysfunction, which ultimately lead to insufficient β-cell mass to maintain normoglycemia. Therefore, therapeutic agents capable of inducing β-cell proliferation is crucial in treating and reversing diabetes; unfortunately, adult human β-cell proliferation has been shown to be very limited (~0.2% of β-cells/24 h) and poorly responsive to many mitogens. Furthermore, diabetogenic insults result in damage to β cells, making it ever more difficult to induce proliferation. In this review, we discuss β-cell mass/proliferation pathways dysregulated in diabetes and current therapeutic agents studied to induce β-cell proliferation. Furthermore, we discuss possible combination therapies of proliferation agents with immunosuppressants and antioxidative therapy to improve overall long-term outcomes of diabetes.