Miracle-dz/UniFAR-FTUs huggingface dataset:
Germination Response of Black Nightshade (Solanum nigrum) to Temperature and the Establishment of a Thermal Time Model

Abstract Black nightshade (Solanum nigrum L.) is one of the worst weeds in crop fields, and it spreads mainly by the dispersal of seeds. Temperature is one of the key environmental factors affecting seed germination. We investigated the seed germination response to temperature in six populations of S. nigrum from mid- to northern China and derived mathematical models from germination data. The results showed that S. nigrum seeds exhibit distinct germination responses to temperature within the range of 15 to 35 C. The optimum temperature for populations XJ1600, JL1697, and HLJ2134 was 30 C, and those for populations NMG1704, HN2160, and LN2209 were 25, 20, and 15 C, respectively. Based on the nonlinear fitting and thermal time models, the predicted base temperatures of the six populations ranged from 2.3 to 6.4 C, and the required accumulated growing degree days (GDD) ranged from 50.3 to 106.0 C·d. The base temperatures and the accumulated GDD for germination differed among populations, and there was a significant negative correlation. HLJ2134 population required a high base temperature and accumulated GDD for germination, indicating that it might be highly adapted to a warmer and moister environment. Based on the different germination responses of S. nigrum populations to temperature, the thermal time model reflects an innate relationship between base temperature and accumulated GDD required for initiation of seed germination, which provides a better basis for predicting seedling emergence and the timing for optimal control of S. nigrum under field conditions.
Airbnb and Business Travelers: A Prospect Theory Explanation

ABSTRACT The Lodging Shared Economy (LSE) has recently become a dominant force in the lodging industry. Airbnb is a well-known example of LSE and has become a favorite for business and leisure travelers. However, research in the lodging industry is limited regarding business travelers’ preferences for staying at an LSE property while traveling for business. The current study investigates this topic as it affects traditional hotels being at the risk of becoming a commodity with the growth and expansion of the LSE segment. A survey was conducted comparing respondents traveling for business who stayed in a traditional hotel room versus an LSE property, respectively. This study evaluates LSE guest preferences for seven established accommodation characteristics: Price; Financial Information Security; Personal Safety; Location, Empathy, Amenities, and Cleanliness. Analyses were conducted using SmartPLS and produced results that indicated that five of the seven measured criteria were perceived differently by business travelers. Management implications include suggestions for both hotels and LSE and how to diminish the impact of direct competition between the two segments of the lodging industry.
Comparable Efficacy in Ischemic and Non-Ischemic ICD Recipients for the Primary Prevention of Sudden Cardiac Death

(1) Background: In patients suffering from heart failure, the main causes of death are either hemodynamic failure, or ventricular arrhythmias. The only tool to significantly reduce arrhythmic sudden death is the implantable cardioverter defibrillator (ICD), but not all patients benefit to the same extent from these devices. (2) Methods: The primary outcome of this single-center study was defined as cardiovascular death in patients with ischemic and non-ischemic heart failure who have benefited from ICD therapy. The secondary outcomes were death from any cause, sudden cardiac death, ICD-related therapies (appropriate antitachycardia pacing or shock therapy for ventricular tachycardia or fibrillation) and recurrences of ventricular tachyarrhythmias. (3) Results: A total of 403 consecutive ICD recipients—symptomatic heart failure patients with ICD for the primary prevention of sudden cardiac death—were included retrospectively: 59% ischemic cardiomyopathy (ICMP) and 41% non-ischemic cardiomyopathy (NICMP) patients. Within a median follow-up period of 36 months, the incidence of cardiovascular mortality was not significantly different in patients with NICMP and ICMP: the primary outcome had occurred in 9 patients (5.4%) in the NICMP group and in 14 patients (5.9%) in the ICMP group (hazard ratio 1; 95% confidence interval (CI) 0.45 to 2.28; p = 0.97). All-cause mortality occurred in 14 of 166 patients (8.4%) in the NICMP group and 18 of 237 patients (7.6%) in the ICMP group. Sudden cardiac death occurred in two patients (1.2%) in the NICMP group and in four patients (1.7%) in the ICMP group (hazard ratio 0.71; 95% CI, 0.13 to 3.88; p = 0.69). The rate of appropriate device therapies was comparable in both groups. (4) Conclusions: In this study, ICD implantation for primary prevention of sudden cardiac death in patients with symptomatic systolic heart failure was associated with similar rates of cardiovascular and all-cause mortality in patients with ischemic heart disease, and in patients with heart failure from other causes. NICMP and ICMP showed comparable rates of recurrent ventricular tachyarrhythmias and appropriate ICD therapies.
Konsep penelitian pengembangan dalam praktik pembelajaran pendidikan jasmani

Penggunaan dan pemanfaatan metode ilmiah untuk pemecahan masalah dalam pembelajaran Pendidikan Jasmani Olahraga dan Kesehatan (PJOK) di Indonesia belum optimal. Konsekuensi atas hal tersebut adalah semakin banyak dan menumpuknya permasalahan pembelajaran PJOK yang belum tuntas, kualitas penyelenggaraan pembelajaran yang belum professional, dan menurunnya apresiasi terhadap keberadaan PJOK sebagai media yang strategis untuk mendidik siswa. Tujuan artikel studi pustaka ini adalah memberikan informasi tentang konsep penelitian pengembangan dalam praktik pembelajaran PJOK, agar dapat diimplementasikan sebagai salah satu upaya untuk meningkatkan kualitas pembelajaran PJOK. Metode yang digunakan adalah studi kepustakaan dengan pendekatan analitis dan sintesis terhadap referensi yang relevan. Hasil temuan artikel ini menyajikan 4 (empat) model penelitian pengembangan yang dapat diimplemetasikan dalam pembelajaran PJOK. Model tersebut adalah: (1) Model Borg & Gall, (2), Model Thiagarajan, (3) Model Plomp, dan (4) Model ADDIE . Setiap model tersebut memiliki karakteristik yang berbeda, tetapi secara essensi terdapat kesamaan yang dapat dimanfaatkan untuk mengembangkan produk sesuai dengan kebutuhan dan permasalahan yang dihadapi. Dapat ditarik kesimpulan bahwa prinsip penelitian dan pengembangan terdiri dari 3 (tiga) tahap, yaitu: (1) analisis kebutuhan, (2) pengembangan produk, (3) pengujian produk. Pengembangan produk dalam PJOK dapat dibuat berdasarkan keadaan lapangan yang ditemui dan potensi yang dimiliki, sehingga hasil produk valid dan praktis.
Implementation of Artificial Intelligence Based Analyzer Using Multi-Agent System Approach

Using Business Intelligence (BI) applications is a critical factor for modern enterprises’ success. BI is one of the key components that persistently required for the modern high-tech companies and industries were used to handle huge amounts of data in every minute of the operations. The existing literature suggested that the lack of dynamic decision making, accuracy, and the degree of flexibility are the key limitations for handling the operational data. Many industries and companies adopted the software-based solution; however, the intelligence is there due to the dependence of the operational engagement for each of the sectors. Therefore, artificial intelligence business framework is urge to implement in the industrial and company’s larger data handling and dynamic decision making that should have the multi-agent system adopting business analyzer model. Towards developing a more universal and cooperative platform, this paper proposes a business Analyzer model. It implements it in an Analyzer agent that can functionally participate in a BI Multi-Agent System (MAS). Unlike previous analyzers which are usually included in other services, this Analyzer is a stand-alone agent that adds an abstraction level to the BI model processing. We have started by defining a BI model using MAS. Building on that, we have created the Analyzer model. Then, we have suggested the Artificial Intelligence (AI) techniques that can satisfy the Analyzer model requirements and implemented it in an Analyzer agent. The functionality and results are promising. This paper opens the road for the researchers to proceed toward universal BI model and the opportunity to implement new BI services.
The challenges of public sector communication in the face of the pandemic crisis: professional roles, competencies and platformization1

The pandemic crisis has led to a renew centrality of public sector communica-tion in a hybrid and convergent media ecosystems aiming at (re)building relation-ships based on trust between institutions and citizens. This contribution reflects on the strengths and fragility of the Italian public communication in the face of the pandemic, considering regulatory processes and paths of professionalization. It focuses also on the challenges of social media use in public sector, suggesting a critical approach towards the platformization of the public sector communication activities. The last part of this manuscript presents the different articles that com-pose the special issue.
Customer Relationship Management Performance and Technology Impact among Logistic Operators in SME’s

Today's business environment is facing an unavoidable challenge. Small businesses’ success is, therefore, vital for maintaining the world economy in general and the Malaysian economy in particular. In addition, Entrepreneurship is a driving force in bringing innovation to the market and creating firms that can achieve high growth in the economy. The objective of this study is to investigate the relationship between customer satisfaction and loyalty in delivery industries.
The SMAC mimetic AT-101 exhibits anti-tumor and anti-metastasis activity in lung adenocarcinoma cells by the IAPs/ caspase-dependent apoptosis and p65-NFƙB cross-talk

Objective(s): The Inhibitors of Apoptosis (IAPs) regulate initiator and effector phases of caspase mediated apoptosis. This study evaluates the effects of SMAC mimetic AT-101 in regulation of IAPs/caspases/NFƙB-p65 in an adenocarcinoma cell line. Materials and Methods: MTT assay was performed in the NCI-H522 cell line. Flow cytometry was used for detecting cell cycle, apoptosis, and NFƙB-p65 regulation. Effects of AT-101 on IAPs and caspases were determined by quantitative real time-PCR and western blotting. AutoDock-VINA was used for computational analysis. Results: AT-101 reduced the cell proliferation of NCI-H522 with a GI50 value of 7 μM. The compound arrested adenocarcinoma cells in the G1 phase of the cell cycle and increased early and late phase apoptosis while decreasing tumor-cell trans-migration. AT-101 treatment to NCI H522 at a concentration of 0.35 μM decreased XIAP, cIAP-1, and cIAP-2 mRNA levels to 4.39±0.66, 1.93±0.26, and 2.20±0.24 folds, respectively. Increased dose of AT-101 at 0.7 μM concentration further decreased XIAP, cIAP-1, and cIAP-2 mRNA levels to 2.44±0.67, 1.46±0.93, and 0.97±0.10 folds, respectively. Similar effects of a dose-dependent decrease in the protein expressions of XIAP, cIAP-1, and cIAP-2 were observed with AT-101 treatments, while a dose-responsive increase in the mRNA and protein expression levels of caspase 6 and caspase 7 was observed in the NCI-H522 cell line. The compound exhibited binding affinity (-6.1 kcal/mol) and inhibited NFƙB-p65 in these cells. Conclusion: AT-101 had anti-tumor efficacy against lung adenocarcinoma cells which could be mediated through IAPs/caspase-dependent apoptosis and NFƙB-p65 cross talk. Results from this study suggests a signal cross talk between IAPs and NFkB and open new channels for further investigations in therapeutic intervention against lung cancer management.
Effect of Innovation, Knowledge Sharing and Trust Culture on Hotels' SMEs Growth in Eswatini

Innovation, knowledge sharing and trust culture contribute significantly to hotel small and medium enterprises (SMEs) in the leisure and hospitality industry. However, most SMEs are family-owned, and staff cannot explore and contribute to business growth. This article describes the effect of innovation, knowledge sharing, shared value and trust culture on hotel SMEs growth in Eswatini (former Swaziland). The study used a mixed explanatory method where data collection and quantitative analysis occurred first, and followed by qualitative research. Overall the results revealed that innovation shared based, knowledge sharing, and trust culture have an impact on small and medium hotels growth in Eswatini. The in-depth follow-up interview provided reasons for these effects. The study's empirical findings also suggest that the innovations, knowledge sharing and trust culture contribute to the growth of the hotel small and medium sector in Eswatini. The implications of the findings in this study for the growth of this sector are that the sector should develop policies and strategies that would enhance growth in the business. The limitation of the study was that it only focused only on purposefully selected small and medium entrepreneur’s hotel establishments in Eswatini. The study contributes to empirical studies on the hotel and tourism SMEs sector in developing countries.
Post‐acute COVID‐19 syndrome (PCS) and health‐related quality of life (HRQoL)—A systematic review and meta‐analysis

There is an established literature on the symptoms and complications of COVID‐19 but the after‐effects of COVID‐19 are not well understood with few studies reporting persistent symptoms and quality of life. We aim to evaluate the pooled prevalence of poor quality of life in post‐acute COVID‐19 syndrome (PCS) and conducted meta‐regression to evaluate the effects of persistent symptoms and intensive care unit (ICU) admission on the poor quality of life. We extracted data from observational studies describing persistent symptoms and quality of life in post‐COVID‐19 patients from March 10, 2020, to March 10, 2021, following PRISMA guidelines with a consensus of two independent reviewers. We calculated the pooled prevalence with 95% confidence interval (CI) and created forest plots using random‐effects models. A total of 12 studies with 4828 PCS patients were included. We found that amongst PCS patients, the pooled prevalence of poor quality of life (EQ‐VAS) was (59%; 95% CI: 42%–75%). Based on individual factors in the EQ‐5D‐5L questionnaire, the prevalence of mobility was (36, 10–67), personal care (8, 1–21), usual quality (28, 2–65), pain/discomfort (42, 28–55), and anxiety/depression (38, 19–58). The prevalence of persistent symptoms was fatigue (64, 54–73), dyspnea (39.5, 20–60), anosmia (20, 15–24), arthralgia (24.3, 14–36), headache (21, 3–47), sleep disturbances (47, 7–89), and mental health (14.5, 4–29). Meta‐regression analysis showed the poor quality of life was significantly higher among post‐COVID‐19 patients with ICU admission (p = 0.004) and fatigue (p = 0.0015). Our study concludes that PCS is associated with poor quality of life, persistent symptoms including fatigue, dyspnea, anosmia, sleep disturbances, and worse mental health. This suggests that we need more research on PCS patients to understand the risk factors causing it and eventually leading to poor quality of life.
Numerical Validation of the Radiative Model for the Solar Cadaster Developed for Greater Geneva

The achievement of the targets for reducing greenhouse gas emissions set by the Paris Agreements and the Swiss federal law on the reduction of greenhouse gas emissions (CO2 law) requires massive use of renewable energies, which cannot be achieved without their adoption by the general public. The solar cadaster developed as part of the INTERREG G2 Solar project is intended to assess the solar potential of buildings at the scale of Greater Geneva—for both industrial buildings and for individual residential buildings—at a resolution of 1 m. The new version of the solar cadaster is intended to assess the solar potential of roofs, as well as that of vertical facades. The study presented here aims to validate this new version through a comparison with results obtained with two other simulation tools that are widely used and validated by the scientific community. The good accordance with the results obtained with ENVI-met and DIVA-for-Rhino demonstrates the capability of the radiative model developed for the solar cadaster of Greater Geneva to accurately predict the radiation levels of building facades in configurations with randomly distributed buildings (horizontally or vertically).
Role of angiotensin II in the development of subcellular remodeling
in heart failure

The development of heart failure under various pathological conditions such as myocardial infarction (MI), hypertension and diabetes are accompanied by adverse cardiac remodeling and cardiac dysfunction. Since heart function is mainly determined by coordinated activities of different subcellular organelles including sarcolemma, sarcoplasmic reticulum, mitochondria and myofibrils for regulating the intracellular concentration of Ca2+, it has been suggested that the occurrence of heart failure is a consequence of subcellular remodeling, metabolic alterations and Ca2+-handling abnormalities in cardiomyocytes. Because of the elevated plasma levels of angiotensin II (ANG II) due to activation of the renin-angiotensin system (RAS) in heart failure, we have evaluated the effectiveness of treatments with angiotensin converting enzyme (ACE) inhibitors and ANG II type 1 receptor (AT1R) antagonists in different experimental models of heart failure. Attenuation of marked alterations in subcellular activities, protein content and gene expression were associated with improvement in cardiac function in MI-induced heart failure by treatment with enalapril (an ACE inhibitor) or losartan (an AT1R antagonist). Similar beneficial effects of ANG II blockade on subcellular remodeling and cardiac performance were also observed in failing hearts due to pressure overload, volume overload or chronic diabetes. Treatments with enalapril and losartan were seen to reduce the degree of RAS activation as well as the level of oxidative stress in failing hearts. These observations provide evidence which further substantiate to support the view that activation of RAS and high level of plasma ANG II play a critical role in inducing subcellular defects and cardiac dys-function during the progression of heart failure.
Dynamic Resource Provisioning for Iterative Workloads on Apache Spark

Apache Spark as a popular in-memory data analytic framework has been employed by various applications—such as machine learning, graph computation, and scientific computing, which benefit from the long-running process (e.g., executor) programming model to avoid system I/O overhead. However, existing resource allocation strategies mainly rely on the peak demand, which are normally specified by users. Since the resource usages of long-running applications like iterative computation vary significantly over time, we find that peak demand based resource allocation policies lead to low cloud utilization in production environments. In this article, we present a utilization aware resource provisioning approach for iterative workloads on Apache Spark (i.e., <inline-formula><tex-math notation="LaTeX">${iSpark}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>i</mml:mi><mml:mi>S</mml:mi><mml:mi>p</mml:mi><mml:mi>a</mml:mi><mml:mi>r</mml:mi><mml:mi>k</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="cheng-ieq1-3108043.gif"/></alternatives></inline-formula>). It can identify the causes of resource underutilization due to an inflexible resource policy, and elastically adjusts the allocated executors over time according to the real-time resource usage. In general, iterative applications require more computation resources at the beginning stage and their demands for resources diminish as more iterations are completed. iSpark aims to timely scale up or scale down the number of executors in order to fully utilize the allocated resources while taking the dominant factor into consideration. It further preempts the underutilized executors and preserves the cached intermediate data to ensure the data consistency. Testbed evaluations show that iSpark averagely improves the resource utilization of individual executors by 35.2% compared to vanilla Spark. At the same time, it increases the cluster utilization from 32.1% to 51.3% and effectively reduces the overall job completion time by 20.8% for a set of representative iterative applications. Furthermore, we have extended iSpark to multi-tenancy cloud environments. Specifically, iSpark characterizes a virtual node based on two real-time measured performance statistics: I/O rate and CPU steal time. Thus, we extend the two-dimensional resource constraints (i.e., CPU and MeM) in iSpark to three-dimensional resource constraints (i.e., CPU, MeM and I/O) in the cloud environment. We consider two representative interference scenarios in the cloud: stable interference and dynamic interference. Experimental results on virtual clusters with varying interferences show that iSpark with cloud extension improves the average job completion time by 68% compared to default Spark resource allocation policies.
Molecular Manipulation of the MiR396/GRF Expression Module Alters the Salt Stress Response of Arabidopsis thaliana

We previously demonstrated that microRNA396 (miR396) abundance is altered in 15-day-old Arabidopsis thaliana (Arabidopsis) whole seedlings following their exposure to a 7-day salt stress treatment regime. We, therefore, used a molecular modification approach to generate two new Arabidopsis transformant populations with reduced (MIM396 plants) and elevated (MIR396 plants) miR396 abundance. The exposure of 8-day-old wild-type Arabidopsis whole seedlings and a representative plant line of the MIM396 and MIR396 transformant populations to a 7-day salt stress treatment regime revealed unique phenotypic and physiological responses to the imposed stress by unmodified wild-type Arabidopsis plants and the MIM396 and MIR396 transformat lines. A quantitative reverse transcriptase polymerase chain reaction (RT-qPCR) approach was, therefore, applied to demonstrate that the plant line specific responses to salt stress likely stemmed from the unique molecular profile of each of the GROWTH REGULATING FACTOR (GRF) transcription factor gene family members which form posttranscriptional targets of miR396-directed expression regulation. RT-qPCR additionally revealed that, in 15-day-old Arabidopsis whole seedlings, the three previously identified putative target genes of miR396 belonging to the NEUTRAL/ALKALINE NONLYSOSOMAL CERAMIDASE-LIKE (NCER) gene family, including NCER1, NCER2, and NCER3, do not form targets of miR396-directed expression regulation at the posttranscriptional level. Taken together, the phenotypic and molecular analyses presented here demonstrate that alteration of the miR396/GRF expression module is central to the molecular response of Arabidopsis to salt stress.
Soft tissue periodontal surgeries: A review

Most surgical procedure articles throughout the last three decades, especially those dealing with newer techniques, have included explanations of indications and contraindications, as well as the benefits and drawbacks of individual treatments. However, only a few authors have recently focused on periodontal surgical indications. In light of our current understanding of periodontal disease and therapy, this review will examine the indications for certain periodontal surgical procedures.