Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Different Types of Mechanical Loading on Trabecular Bone Microarchitecture in Rats

Mechanical loading is generally considered to have a positive impact on the skeleton; however, not all types of mechanical loading have the same beneficial effect. Many researchers have investigated which types of mechanical loading are more effective for improving bone mass and strength. Among the various mechanical loads, high-impact loading, such as jumping, appears to be more beneficial for bones than low-impact loadings such as walking, running, or swimming. Therefore, the different forms of mechanical loading exerted by running, swimming, and jumping exercises may have different effects on bone adaptations. However, little is known about the relationships between the types of mechanical loading and their effects on trabecular bone structure. The purpose of this article is to review the recent reports on the effects of treadmill running, jumping, and swimming on the trabecular bone microarchitecture in small animals. The effects of loading on trabecular bone architecture appear to differ among these different exercises, as several reports have shown that jumping increases the trabecular bone mass by thickening the trabeculae, whereas treadmill running and swimming add to the trabecular bone mass by increasing the trabecular number, rather than the thickness. This suggests that different types of exercise promote gains in trabecular bone mass through different architectural patterns in small animals.
Pemanfaatan Algoritma Machine Learning untuk Segmentasi Pelanggan Berbasis Data Konsumsi Listrik di PT PLN XYZ

Salah satu strategi yang diterapkan untuk menganalisis karakteristik pelanggan PT PLN XYZ dalam menggunakan listrik adalah CustomerRelationship Management. Dalam penelitian ini, data pelanggan tersegmentasi adalah pelanggan paskabayar dengan berbagai tarif, daya, konsumsi kWh dan jumlah tagihan listrik di dalamnya. Masing–masing dari variabel tersebut kemudian dikombinasikan, sehinggaterbentuklah segmentasi karakteristik pelanggan PT PLN XYZ berdasarkan variabel tersebut. Hasil dari segmentasi pelanggan, dapatdijadikan dasar untuk menentukan arah kebijakan dalam membuat strategi pelayanan pelanggan yang dipadukan dengan Customer Relationship Management. Dalam riset ini Customer Relationship Management dijadikan sebagai dasar strategi pelayanan pelanggan yang dipadukan dengan hasil segmentasi pelanggan, sehingga arah pengambilan keputusan lebih terarah. Setiap segmentasi mempunyai insightatau proposisi nilai sesuai dengan karakternya masing-masing. Proposisi nilai tersebut dilakukan dengan memahami data segmentasinya, untuk kemudian kita bandingkan dengan karakter konsumsi listriknya. Selanjutnya, dari proposisi nilai segmentasi tersebut dapat diambilarah strategi pelayanan pelanggan yang sesuai dengan kebutuhan dari segmen-segmen tersebut. Metode untuk segmentasi pelanggan menggunakan algoritma machine learning clustering K-means. Dari hasil segmentasi, terdapat 46 pelanggan merupakan clustering kelas pertama profitable customer dan 19.989 pelanggan merupakan clustering kelas kedua less-profitable customer. Selanjutnya, dilakukan strategi Customer Relationship Management pada tiap segmentasinya. Untuk profitable customer, strategi hubungan pelanggan dilakukan dengan Bisnis to Bisnis dan Customer Business Development, sedangkan untuk less-profitable customer dilakukan Continuous Replenishment program serta Retail Account Marketing. Hasil segmentasi pelanggan tersebut dapat digunakan sebagai data pendukung pengambilan keputusanbisnis di PT PLN XYZ.
IMPLEMENTING COMMON DATA ENVIRONMENTS IN ARCHITECTURAL TECHNOLOGY STUDIES

The Construction Industry’s digitalisation is an iterative and ongoing process where digital tools have been primarily focused on the design and modelling and lacking traction in the adjacent stages. Communication methodologies between parties are not evolving at the same rate compared with digitalisation production. Similarly, educational institutions lack the resources to facilitate the students’ growth associated with the BIM process. Different commercial entities have been tackling the issue for some time, producing tools that significantly reduce this effect. Implementing a CDE (Common Data Environment) in a pedagogical environment can improve multidisciplinary feedback across lecturers teaching different building specialities. Using digital solutions with an intuitive human interface reduces the distance between students and teachers. A CDE tool such as Dalux ® provides a platform aimed for the AEC industry with an amplitude of instruments that serve the building’s whole information cycle. The Copenhagen School of Architectural Technology and Construction Management has consistently been implementing in their programs the most recent BIM solutions to provide new graduates with competences to cope with industry challenges. In doing so, innovative applications of didactics strategies have been successfully applied in the light of favourable results. Students need a comprehensive understanding and application of communication flows when solving their school assignments from an industry practice perspective. In 2020, the school decided to implement Dalux in the program as a pilot project to analyse the feasibility of using the software on a major scale with promising results. This paper presents the Dalux implementation at the school, exploring the didactic and professional approach based on factual data from case studies and learning outcomes during the period of investigation.
Smart and Automated Diagnosis of COVID-19 Using Artificial Intelligence Techniques

Machine Learning (ML) techniques have been combined with modern technologies across medical fields to detect and diagnose many diseases. Mean-while, given the limited and unclear statistics on the Coronavirus Disease 2019 (COVID-19), the greatest challenge for all clinicians is to find effective and accu-rate methods for early diagnosis of the virus at a low cost. Medical imaging has found a role in this critical task utilizing a smart technology through different image modalities for COVID-19 cases, including X-ray imaging, Computed Tomography (CT) and magnetic resonance image (MRI) that can be used for diagnosis by radiologists. This paper combines ML with imaging analysis in an artificial deep learning approach for COVID-19 detection. The proposed methodology is based on convolutional long short term memory (ConvLSTM) to diagnose COVID-19 automatically from X-ray images. The main features are extracted from regions of interest in the medical images, and an intelligent classifier is used for the classification task. The proposed model has been tested on a dataset of X-ray images for COVID-19 and normal cases to evaluate the detection performance. The ConvLSTM model has achieved the desired results with high accuracy of 91.8%, 95.7%, 97.4%, 97.7% and 97.3% at 10, 20, 30, 40 and 50 epochs that will detect COVID-19 patients and reduce the medical diagnosis workload. © 2022, Tech Science Press. All rights reserved.
The Complex Role of Patents in Creating Technological Competencies: A Cross-National Study of Intellectual Property Right Strategies in the Synthetic Dye Industry, 1850-1914

The dramatic increase of firm patenting in the U.S. during the last two decades may give the impression that the acquisition of patents is becoming increasingly important for protecting and leveraging technological competencies. A historical perspective on how firms acquire technological competences and leverage them in different markets reveals, however, that it is far from obvious that the possession of patents will lead to long-term competitive success. German and Swiss firms in the early years of the synthetic dye industry created superior technological competencies than their British and French counterparts precisely because they were initially not able to obtain patent monopolies in their home markets. When Germany later was about to pass a patent law and dye firms feared negative consequences of patent monopolies for their industry, they collectively organized themselves to influence patent legislation so that it would create a sufficient amount of competition within Germany and force firms to maintain better organizational capabilities than their foreign rivals. Analyzing the history of the synthetic dye industry from 1857-1914 in a variety of countries, the purpose of this paper is to contribute to a more nuanced understanding of the role of patents in the development of firm capabilities. It highlights that firms in high-tech industries need to develop capabilities in executing multifaceted patent strategies.
Fronthaul Optical Links Using Sub-Nyquist Sampling Rate ADC for B5G/6G Sub-THz Ma-MIMO Beamforming

This paper details fronthaul optical links using sub-Nyquist sampling rate analog-to-digital converters (ADCs) for Beyond fifth generation (B5G) and 6G sub-THz massive multiple-input multiple-output (Ma-MIMO) beamforming. Unlike Common Public Radio Interface (CPRI) using high speed ADCs in current fronthaul link, the proposed scheme involves ADCs operating at sub-Nyquist sampling rate for each antenna element. Based on pre-allocated relative time delays, pre-processed orthogonal frequency-division multiplexing (OFDM) signals sent from a baseband unit (BBU) can be deaggregated to different Ma-MIMO OFDM signals by sub-Nyquist sampling rate ADCs. In experiments, we assume that each remote radio unit (RRU) is equipped with 32/64 antenna elements and 32/64 ADCs operating at 1/32 and 1/64 of the Nyquist sampling rate. Furthermore, the received Ma-MIMO OFDM signal is then up-converted to 100-GHz for wireless transmission and defined as Ma-MIMO RF OFDM signal. We simulate the 32/64 antenna elements transmission scenario by individually transmit and demodulate each Ma-MIMO RF OFDM signal with 32/64 times of point-to-point antenna transmission. The error vector magnitude (EVM) and signal-to-noise ratio (SNR) of each received Ma-MIMO RF OFDM signal are less than 8% and 26 dB, respectively. And the total received 64 Ma-MIMO RF OFDM signals will require line rate as high as 393.6374 Gb/s according to CPRI option-7. Notably, the proposed scheme reduces the requirement of sampling rate and enables all the Ma-MIMO OFDM signals at baseband without the insertion of guard band. Thus, the proposed scheme can reduce the complexity of signal deaggregation and power consumption in the demodulation process, leading to an improvement in cost efficiency.
An efficient RF exposure system with precise whole-body average SAR determination for in vivo animal studies at 900 MHz

A radial electromagnetic cavity has been designed and optimized for the in vivo whole-body exposure of mice to 900-MHz RF fields. Parallel circular plates shorted around the perimeter form the cavity, which is fed at the center in order to excite a cylindrical TEM wave. Plastic housings allow the insertion and equidistant positioning from the exciter of 40 mice, with the electric field parallel to the body axis. The resulting exposure system is highly efficient, featuring more than 80% of the incident power dissipated in the mice. The whole-body average SAR can be determined with remarkable precision by means of straightforward power balance since the RF power leakage from the cavity is extremely low. Fairly uniform exposure of the mice, individually and collectively, has been achieved by means of the symmetric arrangement. This exposure system has been adopted in a replication study on transgenic mice currently being carried out in South Australia, and is being considered for upcoming animal studies in Europe.
Variation within Texture Classes of Soil Water Parameters

ABSTRACT THE Brooks and Corey effective saturation-capillary pressure equation was fitted to 1,085 soil moisture characteristics for 10 soil texture classes ranging from sand to clay. The fitted parameters, A-pore size index, if>fc-bubbling pressure, and -total porosity, within each texture class were transformed to a normal distribution. The distribution statistics are presented. Green and Ampt infiltration equation parameters, ipr wetting front capillary head and K-conductivity, were estimated from the Brooks and Corey equation parameters and a transformation to a normal distribu-tion was made. Statistics are presented for each soil tex-ture.
Preventing project cost escalation

Project costs often increase beyond their original estimates. This is considered inevitable and all too readily accepted as the norm. However, by following a few considered steps there are methods available to reduce cost escalation and increase profit. The first step is developing the project budget and increasing its accuracy. Allowance should be made for project risks. The effective use of contingency in this respect is discussed. An example project is discussed.
Crewmember Trust in the Trident Submarine Internal Communication Subsystems during Normal and Emergency Operating Conditions

Submarine internal communications subsystems vary widely in their design and capabilities. As a result, submarine crews may feel that internal communications differ in reliability and place associated levels of trust in them, especially during emergency operating conditions. We examined a US Navy Trident submarine crew as they used the internal communications subsystems during a four-day period at sea. The results showed that crewmembers' level of trust in the submarine's internal communications subsystems was significantly reduced during emergency operating conditions. Specifically, we noted that the submarine's wire free communication system as well as its sound powered phone systems received the lowest trust ratings. Interviews conducted with the crewmembers revealed several problems associated with these types of communication subsystems. The most often cited problems included poor durability, maintainability, effective range, battery life, freedom of movement, and sound quality. Designers should address these problems to improve crewmembers' reliability and trust in future internal communication systems.
Communication boundaries are meant to be crossed

How may everyone's learning be increased and enhanced by crossing the typical communication boundaries of roles, goals, interests and values, and the more specialized borders of professional discipline and methodology? How may the improvement of technical communication in engineering environments connect to teaching strategies such as collaborative and experiential classroom learning? How could traditional curricula at a Midwestern engineering technology college make room for such "nonessentials"? This paper illustrates what may be possible within traditional academic constraints and asserts that everyone involved learns from the adventure. Course assignments suggest some ways to bridge faculty, student and disciplinary boundaries nside classrooms and across communities, countries and cultures.
Copyright 2009 by Human Factors and Ergonomics Society, Inc. All rights reserved. 10.1518/107118109X12524444845315

In augmented reality (AR) environments our senses with which we interact with the real world are selectively supplemented by graphics, sounds, haptics, and/or smell. Outdoor AR is a relatively new topic for research, but it is emerging quickly as technological obstacles are overcome and the utility of such systems is demonstrated in a wide range of contexts. The audiences for outdoor AR systems are those who can benefit from information and experiences presented relative to the surrounding outdoor real-world context, e.g., tourists, historians, accident investigators, builders, industrial processing plant operators, and military troops. In this paper, we describe the design of Geo-Docent, a multimodal AR system that augments a user’s real world experience by presenting visual, auditory, and tactile information, relative to the user’s geographical position, through an ultramobile computer paired with a Bluetooth headset and a tactile display. Geo-Docent supports content authoring, in a map-based GUI rather than a programmer’s environment, in which the AR author geographically tags multimodal content. From designing, developing, and preliminary testing of this system we have learned there is utility in providing the AR author with: (1) a simple, but flexible, interface for defining geographical trigger points and regions, and for linking those triggers with a variety of interface actions; (2) an interface that optionally allows the author to utilize the author’s current location and view of the natural world when creating AR content; and (3) support for authoring content in a variety of modalities.
Harmonic balance analysis of the subharmonic ferroresonance

ABSTRACT An increasing use of series capacitors to overcome the inductive voltage drops and to improve the power factor in distribution systems has revived the interest in ferrorsonance phenomenon. In this paper, an analytical approach and stability criteria for the sustained subharmonic ferroresonance phenomenon presented. Certain comparisons between experimental and calculated results are included.
Multi-Factor asset pricing model in Iranian Capital Market

Eight-factor pricing model of Skocˇir and Loncˇarski (2018) is a development of Fama and French (2016). They attempt to improve the explanatory power of the model by adding three factors; default risk, liquidity and momentum, in response to some anomalies of the model. Findings show that explanatory power of the model depends highly on variable selection. Efficiency of the model has not been approved in the mentioned confidence interval. But, evidence of the new factors` power and their impact on improvement of the model shows that in combination with 5factor model, momentum has better performance and default has the worst performance. In addition, through combination of 2 factors, intercept analysis implies that combination of liquidity and momentum leads to a better performance.
What Do EHRs Tell Us about How We Deploy Health Professionals to Address the Social Determinants of Health

ABSTRACT The objective of this study was to determine how well Electronic Health Record (EHR) documentation identifies which health professionals act to address patient social determinants of health (SDOH) and what interventions are documented. The Electronic Medical Record Search Engine was used to identify food and housing insecurity EHR notes. From the notes, researchers randomly sampled 60 from each SDOH category. Of 120 notes, which contained a reference to food or housing insecurity, 72% also contained information on an intervention taken. Interventions were documented by social workers 63% of the time, followed by dietitians and physicians. Addressing patient SDOH is a crucial part of comprehensive healthcare. Findings contribute to a broader conversation on the documentation and interventions in healthcare settings to address patients’ SDOH. Findings support the critical importance of standardizing SDOH documentation in the EHR across more members of the health workforce to ensure patient needs are met.
A novel hysteresis control method for current-controlled voltage-source PWM inverters with constant modulation frequency

A hysteresis control method for three-phase current-controlled voltage-source PWM inverters is presented. The method minimizes interference among phases, thus allowing phase-locked loop (PLL) control of the modulation frequency of inverter switches. The control theory is discussed, and the controller implementation is described. Design criteria are also given. The results of experimental tests show excellent static and dynamic performance. >
The Valorization of Biolignin from Esparto Grass (Stipa tenacissima L.) Produced by Green Process CIMV (Compagnie Industrielle de la Matière Végétale) for Fertilization of Algerian Degraded Soil: Impact on the Physicochemical and Biological Properties

This study proposes a new use for a paper industry waste material, lignin, in agriculture and agronomy as a fertilizer for arid soils, while following a strategy aiming to both increase the amount of organic matter in these soils and decrease the impact of pollution caused by industrial discharges that contain organic and/or inorganic pollutants generated by the paper industry. In fact, this method works to improve soil quality through a new carbon-rich bioorganic fertilizer (biolignin) that results from a green method called CIMV, a targeted depollution objective of the paper industry. Over the course of 180 days, we monitored the physicochemical and biological characteristics of degraded soils treated with three different biolignin treatments of 0 (D0), 2 (D1), and 4 (D2) g/kg. The humification was then evaluated by the equation E4/E6. A remarkable variation of the physicochemical and biological parameters was observed in D1 and D2: temperature 12–38 °C, humidity 9–29%, and pH 7.06–8.73. The C/N ratio decreased from 266 to 49. After 180 days, the improvement in soil carbon content for the three treatments D0, D1, and D2 was 14%, 19%, and 24%, respectively. A maximum bacterial biomass of 152 (CFU/g soil) was observed on the 30th day for D1. Maximum laccase activity for D2 was observed on the 120th day. D1 and D2 recorded a significant degree of humification compared to D0. The best indicator of humification E4/E6 was observed in D1, where the value reached 2.66 at the end of the treatment period. The D2 treatment showed a remarkable effect improving the fertility of the degraded soil, which confirms that biolignin is a good fertilizer.
Interested and Instrumental: An Examination of Instrumentality Regulation With Potential Romantic Partners

Instrumentality—the extent to which one facilitates another person’s goal progress—has been described as the Rosetta Stone of attraction, and promotes closeness in ongoing relationships. Yet prior work has not examined whether people might regulate their instrumentality in contexts in which they desire (vs. do not desire) attraction or closeness with others. Four studies, employing imagined online scenario and in-lab experimental paradigms, examined whether people strive to be more instrumental to potential romantic partners (targets) under conditions that lead them to be more (vs. less) romantically interested in those targets. Single participants were more romantically interested in romantically available versus unavailable targets, which in turn, was associated with greater willingness to be instrumental. Results for romantically involved participants were less consistent. Implications and future directions are discussed.
Curbside Recycling in the U.S.a.: Convenience and Mandatory Participation

This research examines the relationship between the success of a residential curbside recycling program (RCRP), measured as material recovery rate (MRR), and two program factors: (1) whether or not participation is mandated; and (2) convenience, measured by container provision, collection frequency and collection day relative to municipal solid waste collection day. Residential curbside recycling programs, with correct strategies and program design, can be an important part of solid waste management plans world-wide. While residential curbside recycling programs are growing in popularity, many basic design questions lie unanswered and successful program strategies are not always obvious. Data from 357 residential curbside recycling programs in the United States are used to test the hypotheses. Mandatory participation residential curbside recycling programs are seen to collect more material than voluntary participation residential curbside recycling programs. Container provision appears effective for voluntary, but not mandatory, residential curbside recycling programs. Increasing collection frequency appears to have a small positive effect on residential curbside recycling program success, while collection day has little effect on material recovery rate.