Miracle-dz/UniFAR-FTUs huggingface dataset:
Variations in trace elements, isotopes, and organic geochemistry during the Hangenberg Crisis, Devonian–Carboniferous transition, northeastern Vietnam

The Hangenberg Crisis at the Devonian–Carboniferous boundary is known as a polyphase extinction event that affected more than 45 % of marine and terrestrial genera. As the cause of this event is still debated, analyses were carried out on sedimentary samples from the Devonian–Carboniferous Pho Han Formation in northeastern Vietnam to reconstruct the paleoenvironment around the time of this event using stable carbon isotopes; total sulfur; manganese; vanadium; molybdenum; and sedimentary organic matter, such as dibenzothiophenes, cadalene, and regular steranes. These geochemical signatures provide a high‐resolution redox history for this section and show that transgression‐driven high primary productivity, possibly enhanced by terrestrial input, caused severe oxygen depletion along the continental margin of the South China block during the Hangenberg Crisis.
Learning Online for Teaching Online: A Formative Program Evaluation of a Hybrid Faculty Training Program

A growing trend in higher education is the increasing number of online course offerings. It is imperative for postsecondary institutions to provide faculty development programs that support faculty in online teaching. For the purpose of preparing faculty to teach online, the University of Pittsburgh offers a semester-long hybrid course in which they assume the role of online students, experience engagement strategies, receive instructor and peer feedback, and apply what they learn to their teaching. I am the designer and facilitator of this course. And I conducted a formative program evaluation to understand the overall usefulness of the course, the benefits of enabling faculty to be learners in a hybrid course, as well as what they learned and applied in their teaching traditional and online courses. The findings showed that the participating faculty from the first two iterations found it useful and appreciated their role as learners in the course. They reported that they developed empathy and realistic expectations for online students. As a group, they applied in their teaching almost all of the important course design principles and notions taught in the course, and they reported that they used a wide range of technology as well. This formative program evaluation sheds light on design choices for preparing faculty to teach online and what seemed to be essential to include as content in a faculty development program for online teaching. Enrolling interested faculty members in a hybrid or online course on how to teach online seemed to be a good way to help faculty develop empathy and realistic expectations for students in an online learning environment, and to enable faculty to apply important course design principles, pedagogical strategies, and technology use in their teaching. Additionally, this formative program evaluation also revealed evidence of some course design concepts, strategies, and instructional technologies that were quickly adoptable by the participants, indicating that those concepts, pedagogical strategies, and technologies should be included in professional development initiatives for online teaching.
Kualitas Pelayanan Dalam Voice Over Internet Protokol Berbasis Shorewall

Abstract Communication is very important and a success factor of the system at the company. Communication can be done using telephone media and internet media. PT. Interdev Prakarsa has several branches and communication between branches is still done using telephone media, and it is very costly for the company especially since the company is already using internet media in the network. The solution to this problem in this study was designing an internet-based technology as communication between branches, the technology is called Voice over Internet Protocol (VoIP) with an open source operating system and an open source firewall that was Shorewall. Result showed that after installation and testing, this firewall reliable enough to overcome the problem of attack problems from outside. The results of VoIP tightening on service quality found that the application of VoIP did not consume a lot of CPU Benchmarks, i.e. only 0.80 to 1.35 per cent. The bandwidth used is also very small between 86 to 86.8 kbps for incoming calls and 83.4 up to 84.3 kbps for outgoing calls. Communication built between VoIP peripherals has also been tested to run well because the value of delay, jitter and packet loss is included in the good category. Keywords: VoIP, Shorewall, Comunication Abstrak Komunikasi pada sebuah perusahaan sangatlah penting, dimana komunikasi menjadi alat ukur keberhasilan sistem di perusahaan tersebut. Komunikasi yang dilakukan dapat menggunakan media telepon dan media internet. PT. Interdev Prakarsa memiliki beberapa cabang dan komunikasi antar cabang masih dilakukan dengan menggunakan media telepon, dan itu sangatlah menghabiskan cost perusahaan apalagi perusahaan tersebut sudah menggunakan media internet dalam jaringan. Solusi dari permasalahan tersebut adalah dengan mendesain sebuah teknologi yang berbasis jaringan internet sebagai komunikasi antar cabang, teknologi tersebut bernama Voice over Internet Protocol (VoIP) dengan sebuah sistem operasi open source dan sebuah firewall open source yaitu Shorewall dimana setelah dilakukan penginstallan dan pengetesan, firewall ini cukup handal untuk mengatasi masalah masalah serangan dari luar. Hasil dari pengetasan VoIP terhadap kualitas pelayanan didapatkan bahwa penerapan VoIP tidak banyak menghabiskan Benchmark CPU yaitu hanya 0,80 sampai degan 1.35 persen per call. Untuk bandwidth yang di pakai juga sangatlah kecil berada di antara 86 sampai dengan 86.8 kbps untuk panggilan masuk dan 83.4 sampai dengan 84.3 kbps untuk panggilan keluar. Komunikasi yang dibangun antar peripheral VoIP pun teruji berjalan dengan baik karena nilai dari delay, jitter dan packet loss termasuk dalam katagori baik. Kata kunci: VoIP, Shorewall, Komunikasi
Effect of Adding a Different Level of Bentonite on Arabi Lamb Performance and Nutrients Digestibility

This study was conducted in one of the private fields in Maysan province to study the effect of adding a different level of bentonite to the lamb diets on the performance of lambs. The study included (18) male Arabi lambs weighted 24.5±1.22 kg and lasted 120 days. Lambs were taken after weaning at the age of 3 to 4 months. They were randomly divided into six groups. The diet was provided on the basis of 3% of live body weight. The diets of the trial included (A) a basic diet of 50% concentrated fodder + 50 alfalfa without any addition. (B) A plus 2% bentonite/ dry matter. (C) A plus 4% bentonite/ dry matter. Treatment (D) a diet of 100% concentrated feed + hay ad libitum (basic diet 2) and without any addition. (E) D plus 2% bentonite. (F) D plus 4% bentonite. The diet significantly affected the average final weight and total weight gain in favor of lambs fed treatment D (100% concentrated feed) with average final weight and total weight gain 46.57 and 22.11 kg, respectively. The addition of bentonite improved the rates of the rate of total weight gain is 17.71, 20.85 and 19.50 kg without adding and adding bentonite (2%) and bentonite (4%), respectively. The diet significantly affected the digestion rate of DM, OM, CP, EE, and NDF. Their digestion coefficients of 100% concentrate group were (75.98, 80.70, 80.09, 65.31 and 31.67%, respectively). 50% concentrated fodder (70.26, 71.53, 76.22, 45.47 and 27.36%, respectively).
Incidence of Fungal Infections in Pediatric Patients with Hematologic Neoplasms

Background: Fungal infections are one of the most important causes of morbidity and mortality in patients with hematological disorders. The frequency of these infections has increased during the past decades. Objectives: Therateof fungalinfectionswasinvestigatedinpediatricpatientswithhematologicaldisorders,usingtraditionaland real-time PCR methods, in order to establish proper management of these patients. Methods: Over a 13-month period, 86 patients with hematological disorders were admitted and were kept under observation for the development of fungal infections. Fungal colonization was determined and clinical samples were examined by direct microscopic examination and culture. Blood specimens were cultured by bedside inoculation into a BACTEC medium. The results of the pathology smear were collected from the patients’ records. Real-time PCR was performed on all patients’ sera to diagnose invasive candidiasis and aspergillosis. Results: Candida colonizationwasseenin42(48.8%)andoralcandidiasiswasdiagnosedin7(8%)patients. Theincidenceof invasive fungalinfectionswas 16.3% (14/86)withamortalityrate of 50% inpediatricpatients. The etiologicagentswere Candidaalbicans in5 cases, Aspergillusﬂavus in3,and Aspergillusfumigatus , Fusarium,Alterneria and Mucor ,eachin1case. In2caseswithliverabscess,only Candida PCR was positive. Fungemia was observed in 4 patients. Conclusions: The rate of invasive fungal infections in our study was high. Early and accurate detection of these infections could resultinabetteroutcome. Incriticalillcaseswhereonlybloodsamplesareavailable,molecularmethodssuchasPCRcouldbemore eﬀective than culture for the detection of etiologic agents.
Digital transformation of gas production

The development of the digital transformation of the gas industry in the Russian Federation is mainly aimed at unique and giant fields. These fields provide the leading position of Russia in the world gas market and about 85 % of the total volume of gas production. The regulatory and technical base, the composition of the existing standards allows us to move to the practice of introducing digital gas technologies. The creation of a unified integrated model is being completed at the Bovanenkovo field. The creation of a digital twin of a unique gas field represents the transfer of a real field into virtual space through the use of Big data analytics and supercomputer technologies.
An Autism Spectrum Disorders Forum: A Model for the Effective Use of Multidisciplinary Assessment and Intervention Planning with Limited Clinical Resources

Increasing numbers of young people are coming forward for assessment of autism spectrum disorders (ASD). Staff from pediatrics and child health services need to work together closely with Local Authority staff and child and adolescent mental health services (CAMHS). This paper describes the functioning of an ASD Forum, which allows for careful use of resources whilst providing comprehensive assessment and intervention planning services in an integrated way.
Low-dose naltrexone in the treatment of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)

ABSTRACT Background: Myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) is a common medical condition that limits physical and cognitive functions, with no known effective medical treatment. Methods: We report on the safety and effectiveness data accumulated in clinical practice when treating ME/CFS with low-dose naltrexone (LDN, 3.0 – 4.5 mg/day). The medical records from 218 patients who received ar diagnosis of ME/CFS and LDN treatment during 2010–2014 were retrospectively analyzed. Results: Outcome data were available in 92.2% of patients with an average follow-up time of 1.7 years. A positive treatment response to LDN was reported by 73.9% of the patients. Most patients experienced improved vigilance/alertness and improved physical and cognitive performance. Some patients reported less pain and fever, while 18.3% of patients did not report any treatment response to LDN. Mild adverse effects (insomnia, nausea) were common at the beginning of the treatment. Neither severe adverse effects nor long-term adverse symptoms were reported. Conclusions: The high frequency of treatment response and good safety profile observed in this retrospective open label study could prompt prospective controlled studies to confirm the feasibility of LDN in alleviating ME/CFS symptoms.
Gender dependent pharmacotherapy for blocking transition to chronic back pain: a proof of concept randomized trial

Preventing transition to chronic back pain (CBP) is an ideal strategy that would rescue patients from years to a lifetime of suffering with pain. Recent studies suggest involvement of sexually-dimorphic dopaminergic-motivational circuits in the transition to chronic pain (tCBP), and hints the combination of carbidopa/levodopa and naproxen (LDP+NPX) may block tCBP. We tested these concepts in early onset BP, who were stratified by risk for tCBP using brain properties. Those identified as low-risk entered a no-treatment arm. The rest were randomized into a double-blind, placebo and naproxen (PLC+NPX) controlled trial of oral LDP+NPX for 12 weeks, and a post-treatment 12-weeks follow-up. 59 participants completed the study. Both treatments resulted in ~50% pain relief for ~75%, sustained post-treatment. LDP+NPX was highly effective in females (>80% pain relief), it modified BP personality, and was related to objective brain functional changes. Although performed in a small group of early onset BP, multiple subjective and objective measures consistently suggest that these long-duration treatments persistently, and gender-dependently, block tCBP.
The Future of Infectious Disease

In 19181919 the world was stricken with a plague that rivalled the battle damage of World War I, even taking account of the slaughter of immobilized trench warfare. This was the influenza pandemic, the so-called “Spanish flu”, though it more likely originated in the swine herds of the American midwest. In the U.S., it was a sharp punctuation of the great improvement of life expectancy between 19001950. (Fig. 1) Throughout the world it accounted for 20 to 25 million excess deaths in one year, formidable even against the backdrop of other plagues and of ongoing parasitic and diarrhea1 disease.
Isolation and predation drive gecko life-history evolution on islands

Insular animals are thought to be under weak predation pressure and increased intraspecific competition compared with those on the mainland. Thus, insular populations are predicted to evolve ‘slow’ life histories characterized by fewer and smaller clutches of larger eggs, a pattern called the ‘island syndrome’. To test this pattern, we collected data on egg volume, clutch size and laying frequency of 31 Aegean Island populations of the closely related geckos of the Mediodactylus kotschyi species complex. We tested how predation pressure, resource abundance, island area and isolation influenced reproductive traits. Isolation and predation were the main drivers of variation in life-history traits. Higher predator richness seemed to promote faster life histories, perhaps owing to predation on adults, whereas the presence of boas promoted slower life histories, perhaps owing to release from predation by rats on the eggs of geckos. Insular geckos followed only some of the predictions of the ‘island syndrome’. Predation pressure seemed to be more complex than expected and drove life histories of species in two opposing directions. Our results highlight the importance of considering the identity of specific predators in ecological studies.
Business model innovation in SMEs engaging in innovation ecosystems. A decoupling perspective

Digital technologies have been increasingly affecting our day-to-day activities, drastically reshaping markets and society. The diffusion of new digital technologies—such as social media, cloud computing, mobile computing, 3D printing, and big-data analytics – is posing firms to challenges, creating opportunities to develop radically new business models. However, despite the growing interest towards this issue, the contribute of digitalisation from the perspective of small and medium-sized enterprises (SMEs) is still such an under-investigated topic. SMEs are considered a driving force in most national economies, contributing heavily to employment, innovation and economic growth, but at the same time they often suffer from lack of both financial and human resources. These weaknesses may be compensated by the inflow and outflow of knowledge and capital boosted by technological innovation and participation within innovation ecosystems. The aim of this paper is to understand, through the lens of the institutional theory, how both the relationships established within the ecosystem and the internal organizational capabilities of SMEs impact on business model innovation thanks to the adoption of digital technologies such as Internet of things, big data, and open data. To do so the authors carried out an embedded case study on an Italian Industry 4.0 project which involved several actors (e.g. food SMEs, universities, technology consulting companies, and Piedmont Region). First findings on this ongoing research show that innovation ecosystems could represent a strong driver for developing an innovative business model oriented to value co-creation provided that SMEs already own distinctive dynamic capabilities. Without these capabilities it would be difficult to fully exploit the digital opportunities arising from the relationships among the heterogeneous actors which are part of the project.
Implementasi Arduino dan ESP32 CAM untuk Smart Home

This study describes the implementation of a smart home by utilizing Arduino and ESP32 CAM with IoT technology. The purpose of this research is to make a device to control home appliances and monitor home security. The method used in this study is an experimental method. In this study, Arduino is used as the main brain of the system where Arduino will read temperature sensor, PIR sensor, LDR and control whether or not the lamp, fan and PIR sensors are active. Sensor data will continue to be sent to the server by the Arduino through the ESP32 CAM module. This tool can also send photos automatically when any movement is detected. Photos taken automatically will be sent to homeowners via the Line application. The process of taking photos, activating lights, fans and PIR sensors can also be done manually via the web interface by the user. Users can also view data from Arduino sent sensors via the web interface that has been provided. From the results of testing this tool has been running well where all sensor data is sent and can be stored in a database, manual activation and deactivation can be done, the captured image is sent to the user's Line application with percentage 100%.
A systematic review of studies on use case points and expert‐based estimation of software development effort

In recent years, due to significant evolution in adopting new technologies and development methodologies in the field of software engineering, the developers and researchers are striving to optimize the accuracy of software effort estimation (SEE). The overestimation and underestimation both are the key challenges for software progress; hence, there is a continuous need for an accurate SEE. This paper highlights a systematic review of studies associated with the best practices of use case point (UCP) and expert judgment–based software development effort estimation techniques. The primary aim and contribution of this paper are to support the researchers through an extensive review to ease to other researcher's search for effort estimation studies. We have performed state‐of‐the‐art review from five viewpoints of reference: (a) review of studies concerning UCPs and expert judgment–based effort estimation, (b) research contribution and future recommendation in different novelties, (c) usage of the dataset, (d) availability of accuracy metrics, and (e) findings of the studies. We have performed a systematic review of studies which are published in the period of 2000 to 2019. We have selected a total of 34 primary studies of UCP and expert judgment–based estimation techniques to report the research questions stated in this review.
Diverse and complex muscle spindle afferent firing properties emerge from multiscale muscle mechanics

Despite decades of research, we lack a mechanistic framework capable of predicting how movement-related signals are transformed into the diversity of muscle spindle afferent firing patterns observed experimentally, particularly in naturalistic behaviors. Here, a biophysical model demonstrates that well-known firing characteristics of muscle spindle Ia afferents – including dependence on movement history, and nonlinear scaling with muscle stretch velocity – emerge from first principles of muscle contractile mechanics. Further, mechanical interactions of the muscle spindle with muscle-tendon dynamics reveal how motor commands to the muscle (alpha drive) versus muscle spindle (gamma drive) can cause highly variable and complex activity during active muscle contraction and muscle stretch that defy simple explanation. Depending on the neuromechanical conditions, the muscle spindle model output appears to “encode” aspects of muscle force, yank, length, stiffness, velocity, and/or acceleration, providing an extendable, multiscale, biophysical framework for understanding and predicting proprioceptive sensory signals in health and disease.
Cross-Modal Attention Network for Temporal Inconsistent Audio-Visual Event Localization

In human multi-modality perception systems, the benefits of integrating auditory and visual information are extensive as they provide plenty supplementary cues for understanding the events. Despite some recent methods proposed for such application, they cannot deal with practical conditions with temporal inconsistency. Inspired by human system which puts different focuses at specific locations, time segments and media while performing multi-modality perception, we provide an attention-based method to simulate such process. Similar to human mechanism, our network can adaptively select “where” to attend, “when” to attend and “which” to attend for audio-visual event localization. In this way, even with large temporal inconsistent between vision and audio, our network is able to adaptively trade information between different modalities and successfully achieve event localization. Our method achieves state-of-the-art performance on AVE (Audio-Visual Event) dataset collected in the real life. In addition, we also systemically investigate audio-visual event localization tasks. The visualization results also help us better understand how our model works.
Temporal Network Embedding with High-Order Nonlinear Information

Temporal network embedding, which aims to learn the low-dimensional representations of nodes in temporal networks that can capture and preserve the network structure and evolution pattern, has attracted much attention from the scientific community. However, existing methods suffer from two main disadvantages: 1) they cannot preserve the node temporal proximity that capture important properties of the network structure; and 2) they cannot represent the nonlinear structure of temporal networks. In this paper, we propose a high-order nonlinear information preserving (HNIP) embedding method to address these issues. Specifically, we define three orders of temporal proximities by exploring network historical information with a time exponential decay model to quantify the temporal proximity between nodes. Then, we propose a novel deep guided auto-encoder to capture the highly nonlinear structure. Meanwhile, the training set of the guide auto-encoder is generated by the temporal random walk (TRW) algorithm. By training the proposed deep guided auto-encoder with a specific mini-batch stochastic gradient descent algorithm, HNIP can efficiently preserves the temporal proximities and highly nonlinear structure of temporal networks. Experimental results on four real-world networks demonstrate the effectiveness of the proposed method.