Miracle-dz/UniFAR-FTUs huggingface dataset:
Has Physics Theory Become Vacuous?

Modern science made its mark by gaining knowledge and understanding in a bottom-up manner: starting with observed phenomena and developing explanatory theories. From about the middle of the 20th century, however, reliance on accepted theories became increasingly dogmatic. One indication of increasing dogmatism was a failure to acknowledge phenomena for which no obvious explanation already existed—unidentified flying objects, unidentified creatures (Loch Ness Monsters, yetis, Bigfoot), parapsychological phenomena. Dissatisfaction with ignoring such phenomena led to the founding of the Society for Scientific Exploration as well as other, typically more topic-specialized, groups. A further indication of increasing dogmatism was the continuing adherence in many mainstream matters to explanations no longer consonant with accumulating evidence (Bauer, 2012a). Nevertheless, it continues to be widely believed that science is carried on, and should be carried on, as described by the scientific method: The validity of theories is judged by their adequacy in explaining observable facts. Lost in Math argues that theoretical physics is no longer a science in this sense, that it has become a playground of purely mathematical speculation, with judgments of potential validity made not by appeal to observables but to such aesthetic values or principles as elegance or beauty. The book is enormously informative, extremely well-written, highly recommendable. Honestly and with full disclosure, Sabine Hossenfelder describes in the first person her grappling with the dilemma that her profession, theoretical physics, appears to be determinedly wrong-headed, at an impasse, a dead end, going nowhere, for instance producing 193 models for the early universe and 500 theories to explain a spurious signal (p. 235).
Diving safety alarm based on the techniques of machine learning

Many countries actively promote the beneﬁts of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompression sickness. Sometimes when divers encounter emergencies and they may fail to alert the coach or other companions for rescues. Currently, some divers wear emergency equipment when conducting the exercise; yet, the cost is relatively high, and the operation is complicated that people tend to forget the process when facing emergencies. This article aims to develop a wearable device that has a safety alarm function based on the technique of machine learning. The features of the suggested device are as follows: (1) cost-effective detectors for monitoring divers’ conditions; (2) a combination of an Automatic Identiﬁcation System (AIS) with a Global Positioning System (GPS) to send a safety alarm with the location of the diver; (3) utilize Bluetooth communication to detect if a diver left the safety range set by the coach; (4) the machine learning technique judges the health status of the diver; (5) the wearable device connects with swim goggles to deliver danger alarms, which enables divers to notice dangerous situations from the lights on the goggles. The approach suggested in this article primarily utilizes wearable devices to ensure divers’ safety. The key feature of this device can prevent divers from sweeping away by currents or swimming into risky areas; meanwhile, the device can detect the risk of decompression sickness. The research executed an experiment to verify the design, and the results have proven the feasibility of the study. Additionally, with the cost-effective detectors installed on the device, the presented equipment has the potential to make it universal and increase the safety of divers.
How to Establish a Sustainable Organization? A Study on the Relationship between Social Work Characteristics and Innovativeness for Employees of Organizations

The shaping of employees’ innovativeness is an important way of building a sustainable organization. Therefore, in order to have a sustainable police organization, the innovativeness of the police must be established in order to achieve the objective of maintaining law and order. In this study, Taiwan’s first-line border police officers served as the research subject, and the cross-level model perspective was adopted to investigate their innovativeness from task-oriented and socially oriented viewpoints. At the same time, investigations were made into the cross-level direct and indirect effects of social work characteristics and collective efficacy toward police officers’ self-efficacy and innovativeness. A multilevel model was adopted to analyze the quantitative data obtained with 249 border police officers in Taiwan as the research objects. The results showed that social work characteristics have a positive influence on collective efficacy, and motivational work characteristics have a positive influence on employees’ self-efficacy and innovativeness. Their self-efficacy showed a positive influence on innovativeness, and a mediating effect on the relationship between motivational work characteristics and innovativeness. Moreover, social work characteristics and collective efficacy have a cross-level contextual effect on self-efficacy and innovativeness, while social work characteristics and self-efficacy have a cross-level interaction on police officers’ innovativeness. In general, this study confirmed the importance of employees’ innovativeness for the establishment of a sustainable police organization. The characteristics of social and motivational work, self-efficacy, and collective effectiveness are important variables for establishing employees’ innovativeness.
Artificial-Intelligence-Based Design for Circuit Parameters of Power Converters

Parameter design is significant in ensuring a satisfactory holistic performance of power converters. Generally, circuit parameter design for power converters consists of two processes: analysis and deduction process and optimization process. The existing approaches for parameter design consist of two types: traditional approach and computer-aided optimization (CAO) approach. In the traditional approaches, heavy human-dependence is required. Even though the emerging CAO approaches automate the optimization process, they still require manual analysis and deduction process. To mitigate human-dependence for the sake of high accuracy and easy implementation, an artificial-intelligence-based design (AI-D) approach is proposed in this article for the parameter design of power converters. In the proposed AI-D approach, to achieve automation in the analysis and deduction process, simulation tools and batch-normalization neural network (BN-NN) are adopted to build data-driven models for the optimization objectives and design constraints. Besides, to achieve automation in the optimization process, genetic algorithm is used to search for optimal design results. The proposed AI-D approach is validated in the circuit parameter design of the synchronous buck converter in the 48 to 12 V accessory-load power supply system in electric vehicle. The design case of an efficiency-optimal synchronous buck converter with constraints in volume, voltage ripple, and current ripple is provided. In the end of this article, feasibility and accuracy of the proposed AI-D approach have been validated by hardware experiments.
Chromosome‐level genome assembly reveals genomic architecture of northern range expansion in the mountain pine beetle, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae)

Genome sequencing methods and assembly tools have improved dramatically since the 2013 publication of draft genome assemblies for the mountain pine beetle, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae). We conducted proximity ligation library sequencing and scaffolding to improve contiguity, and then used linkage mapping and recent bioinformatic tools for correction and further improvement. The new assemblies have dramatically improved contiguity and gaps compared to the originals: N50 values increased 26‐ to 36‐fold, and the number of gaps were reduced by half. Ninety per cent of the content of the assemblies is now contained in 12 and 11 scaffolds for the female and male assemblies, respectively. Based on linkage mapping information, the 12 largest scaffolds in both assemblies represent all 11 autosomal chromosomes and the neo‐X chromosome. These assemblies now have nearly chromosome‐sized scaffolds and will be instrumental for studying genomic architecture, chromosome evolution, population genomics, functional genomics, and adaptation in this and other pest insects. We also identified regions in two chromosomes, including the ancestral‐X portion of the neo‐X chromosome, with elevated differentiation between northern and southern Canadian populations.
BLACK WHEAT BRAN AS A PROMISING SOURCE OF FOOD FIBRES WITH AN EXPANDED SPECTRUM OF FUNCTIONALITIES

Modern requirements of nutritiology determine the enrichment of a person’s daily diet with food fibres. Dietary supplements and cereal-based ingredients are widely used to achieve this goal. Wheat as a food crop traditionally occupies a leading position in food production. Currently, new varieties of wheat with colored grains are being given increasing attention as a source of high-activity phytochemical compounds, which can initiate a positive synergistic physiological effect in the complex. The black-grain wheat of the domestic variety "Chornobrova" belongs to the functional species among the new valuable colored varieties of wheat. It contains an increased amount of biologically active components concentrated in the husk and germ of the grain. At grain processing plants by-products are formed in the production of flour and cereals, among which the hard shells of grain release in the form of bran, that have a rich source of dietary fibres. The paper describes the breaking bran and grinding bran of black-grained wheat "Chornobrova". They contain up to 78.0% of polysaccharides, among which hemicelluloses and cellulose predominate. Both types of black wheat bran are protein-rich (13.0-15.3%), and the crude fat content does not exceed 2.1%. The non-hydrolyzed residue, represented primarily by lignin, reaches 3.8%. Bran is rich in phenolic compounds – powerful antioxidants with the mass fraction 310.0 mg/100 g. Both types of bran have a water retention and sorption capacity towards toxicants (phenol, Pb), cholic acid, methylene blue. As a result of acid treatment of bran, dietary fibre concentrates were obtained, in which non-starch polysaccharides predominate. They are characterized by modified physicochemical properties, namely improved water holding capacity, sorption activity against Pb, not inferior to bran in terms of the ability to bind cholic acids and methylene blue. "Chornobrova" wheat bran and dietary fibre concentrates are highly active enterosorbents with antioxidant activity, which can be considered as dietary supplements and food ingredients that should be included in recipes in the development of new functional foods.
Preparation and quality evaluation of congrong whitening sunscreen cream

OBJECTIVE To prepare a whitening sunscreen cream by using the total phenylethanoid glycosides in Cistanche as the active additive.METHODS The whitening sunscreen cream was prepared by using the oil in water emulsion formulation,added with phenylethanoid glycosides ingredient extracted and refined from Cistanche.The quality was evaluated and its content was determined by ultraviolet spectrophotometry.The skin destruction on mice was caused by ultraviolet radiation and the changes of skin appeareance of mice were compared.RESULTS The cream showed exquisite,well-distributed,non-irritative,stable characteristics and could relieve the skin destruction caused by ultraviolet radiation.In the determination of the content,echinacoside was used as reference.The average recovery was 98.2% with RSD of 1.5%. CONCLUSION The cream is rational in prescription design,simple in preparation method,good in stability,and has protective effects on skin destruction caused by ultraviolet radiation.The quality is easy to handle by the ultraviolet spectrophotometry.It is hopeful to be developed a new natural whitening sunscreen cream.
Insight into the Atomic Structure of High-Voltage Spinel LiNi0.5Mn1.5O4 Cathode Material in the First Cycle

Application of high-voltage spinel LiNi0.5Mn1. 5O4 cathode material is the closest and the most realistic approach to meeting the midterm goal of lithium-ion batteries for electric vehicles (EVs) and plug-in hybrid electric vehicles (HEVs). However, this application has been hampered by long-standing issues, such as capacity degradation and poor first-cycle Coulombic efficiency of LiNi0.5Mn1. 5O4 cathode material. Although it is well-known that the structure of LiNi0.5Mn1. 5O4 into which Li ions are reversibly intercalated plays a critical role in the above issues, performance degradation related to structural changes, particularly in the first cycle, are not fully understood. Here, we report detailed investigations of local atomic-level and average structure of LiNi0.5Mn1. 5O4 during first cycle (3.5–4.9 V) at room temperature. We observed two types of local atomic-level migration of transition metals (TM) ions in the cathode of a well-prepared LiNi0.5Mn1. 5O4//Li half-cell during first charge via an aberrati.
Factual Quantification Methods of Energy Consumption for Transmission Nodes in Cellular Communication Systems: Experimental Case Study in Lome

The energy efficiency for wireless communication technology standard is very important for the current and the future generation ones. Noting that the energy consumption in communication systems is constantly increasing due to the exponential number of subscribers and high data services demand. In this regard, it becomes necessary to quantify this energy consumption with respect to the communication technology standard at the site. This article presents an evaluation of the factual quantifications methods for the energy consumption of transmission nodes in cellular communications systems. The data collection was obtained on three types of communication technology standards namely second generation (2G), 3G, 4G and their combination using the direct and indirect (the utility records) methods power measurement on the field installation of a mobile telephone operator in Togo. These data have undergone a preprocessing in the Microsoft Excel software (version 2019), then sent in the Matlab software (Matlab R2020b) for further analysis. The results showed that the energy consumption observed at the site is around 124 kWh, 254, kWh and 362 kWh on monthly average respectively for 2G, 2G/3G, and 2G/3G/4G typology used. It further indicated that when more communication standards are used on a given site, its power consumption is much more increasing. The power profile distribution has been investigated, and the analysis revealed that the normal distribution closely fitted the data. However, more parameters related to the number of utilised channels and climatic conditions need to be considered in future research works.
MiR-323a-3p Inhibits Tumor Growth and Gefitinib Resistance Acquisition by Targeting EGFR/ErbB3 in Colorectal Cancer

Background: EGFR-TKIs are prone to develop acquired drug resistance in colorectal cancer and are only applicable in Kras wild type colorectal cancer patients. This study aimed to determine the reasons for the poor treatment efficacy of TKIs in Kras mutant CRC and to improve the treatment effect. Method: The RTK Phosphorylation Membrane array was used to detect and screen changes in phosphorylated protein levels in KRAS mutant-resistant CRC cells. qRT-PCR, western blot and TCGA database were applied for reporting the expression of ERGR and ErbB3 in CRC. Luciferase reporter and western blot examined the network of miR-323a-3p. RTCA, colony formation, CCK-8, caspase-3/7 activity and Flow cytometry probed the impacts of miR-323a-3p on CRC cell growth.Results: We illustrated that ErbB3 and EGFR were activated in gefitinib-resistant Kras mutant colorectal cancer cell lines. ErbB3 is highly expressed in Kras mutant patient tissues, and patients with ErbB3high/EGFRhigh had a poorer prognosis. Mechanically, We found and verified that the tumor suppressor miR-323a-3p simultaneously directly targeted EGFR/ErbB3 and inhibited tumor cell growth by activating the apoptosis pathway. Further functionality studies identified miR-323a-3p synergized with gefitinib to inhibit tumor growth, and this synergy prevented the development of acquired resistance to gefitinib in CRC cell lines.Conclusion: Accordingly, these data indicate that Kras mutant CRC TKI resistance occurs due to the activation of EGFR and ErbB3. Thus, miR-323a-3p has the potential to treat Kras-mutated colorectal cancer by targeting ErbB3/EGFR.
The First Identification and Some Carcass Characteristics of the 7 Lumbar Vertebrae in Sheep in Turkey

The purpose of this study was to draw attention to the number of the lumbar vertebrae in R1 BBA crosses (Bafra x F1 (Bafra x Akkaraman)) lambs (75% Bafra and 25% Akkaraman), and the effect of 7 lumbar vertebrae on some carcass traits. Even though some studies reported that the number of the lumbar vertebrae might be considerably different dependent on the sheep genotype, this has not been reported for Turkish breeds. While a study on the R1 BBA lambs has been performed, seven lumbar vertebrae have been identified in four of the eighteen lambs. The means of the carcass length (80.800±0.583 and 84.375±1.375 cm) (P= 0.036), leg weight (5.942±0.079 and 6.209±0.052 kg) (P= 0.032), loin weight (1.560±0.096 and 1.849±0.060 kg) (P= 0.048), and loin’s lean weight (0.875±0.059 and 1.058±0.032 kg) (P= 0.040) were statistically different between the groups of lambs (6 and 7 lumbar vertebrae, respectively). In conclusion, the number of lumbar vertebrae has economically affected important parts of the carcass.
Stretchable and Transparent Metal Nanowire Microelectrodes for Simultaneous Electrophysiology and Optogenetics Applications

Recently developed optically transparent microelectrode technology provides a promising approach for simultaneous high-resolution electrical and optical biointerfacing with tissues in vivo and in vitro. A critically unmet need is designing high-performance stretchable platforms for conformal biointerfacing with mechanically active organs. Here, we report silver nanowire (Ag NW) stretchable transparent microelectrodes and interconnects that exhibit excellent electrical and electrochemical performance, high optical transparency, superior mechanical robustness and durability by a simple selective-patterning process. The fabrication method allows the direct integration of Ag NW networks on elastomeric substrates. The resulting Ag NW interface exhibits a low sheet resistance (Rsh) of 1.52–4.35 Ω sq−1, an advantageous normalized electrochemical impedance of 3.78–6.04 Ω cm2, a high optical transparency of 61.3–80.5% at 550 nm and a stretchability of 40%. The microelectrode arrays (MEAs) fabricated with this approach exhibit uniform electrochemical performance across all channels. Studies on mice demonstrate that both pristine and stretched Ag NW microelectrodes can achieve high-fidelity electrophysiological monitoring of cardiac activity with/without co-localized optogenetic pacing. Together, these results pave the way for developing stretchable and transparent metal nanowire networks for high-resolution opto-electric biointerfacing with mechanically active organs, such as the heart.
FIDDLE: E�cient Assembly of Networks That Satisfy Desired Behavior

: 1 Background : Due to the complexity and redundancy of biological systems, computational 2 models are difficult and laborious to create and update. Therefore, machine reading and 3 automated model assembly are of great interest to computational and systems biologists. Here, 4 we describe FIDDLE (Finding Interactions using Diagram Driven modeL Extension), the tool 5 that we built with the goal to automatically assemble or extend models with the knowledge 6 extracted from published literature. The two main methods developed as part of FIDDLE are 7 called Breadth First Addition (BFA) and Depth First Addition (DFA), and they are based on 8 network search algorithms. To assess the advantages and limitations of BFA and DFA, we 9 applied them on Erdös-Rényi random networks (ER) and Barabási-Albert scale-free networks 10 (BA) as models of biological networks. Starting with several different baseline models and 11 different sets of candidate edges, we conducted a comprehensive evaluation of the BFA and 12 DFA algorithms and their ability to either reconstruct a specified network structure or assemble 13 models that reproduce the same behavior as defined golden models. 14 Results: When BFA and DFA are applied to random networks, we are able to show that model 15 extension with BFA is more specific and DFA is a more sensitive approach. When applied to 16 scale-free networks, both BFA and DFA demonstrated very limited success. 17 Conclusion: Results suggest that BFA is a better method for assembling abundant but mixed 18 true and false information, while DFA will better assemble fewer and more truthful interactions. 19 The limited success with scale-free networks suggests a fundamental difficulty with 20 automatically creating biological models due to the inherent redundancy and complexity of 21 biological networks. These methods represent an early attempt and a novel approach to truly
Vielfältige Konzepte der Natur und themenzentrierter Unterricht im Freien anhand der deutschen Übersetzung von Erbens Kytice (Der Blumenstrauß)

Ziel des Artikels ist es zu zeigen, wie vielfältig die Konzeptualisierung der Natur sein kann. Der didaktische Ansatz des Artikels basiert auf der Dissertation des Autors, in der mit Hilfe des Indexes der pädagogischen Polarität verifiziert wurde, dass der Unterricht mit authentischen Materialien im Vergleich zu didaktisierten Materialien effektiver und eher motivierend ist. Die Balladensammlung des tschechischen Schriftstellers Karel Jaromír Erben "Der Blumenstrauß" in der deutschen Fassung bietet eine vielseitige Inspiration für die Aktivitäten nicht nur von tschechischen, sondern auch von Deutsch als Erstsprache sprechenden Schülern. Die jeweiligen Aktivitäten können kognitiv, affektiv, sozial sowie motorisch ausgerichtet sein. Der themenzentrierte Unterricht verfolgt problem-, projekt- und handlungsorientierte Ziele.
Applying machine learning approach to predict students' performance in higher educational institutions

Purpose Academic success and failure are relevant lifelines for economic success in the knowledge-based economy. The purpose of this paper is to predict the propensity of students’ academic performance using early detection indicators (i.e. age, gender, high school exam scores, region, CGPA) to allow for timely and efficient remediation. Design/methodology/approach A machine learning approach was used to develop a model based on secondary data obtained from students’ information system in a Nigerian university. Findings Results revealed that age is not a predictor for academic success (high CGPA); female students are 1.2 times more likely to have high CGPA compared to their male counterparts; students with high JAMB scores are more likely to achieve academic success, high CGPA and vice versa; students from affluent and developed regions are more likely to achieve academic success, high CGPA and vice versa; and students in Years 3 and 4 are more likely to achieve academic success, high CGPA. Originality/value This predictive model serves as a classifier and useful strategy to mitigate failure, promote success and better manage resources in tertiary institutions.