Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Structure Of Intra-Modal Deep Convolutional Neural Network Based On Wavelet For Pattern Recognition And Data Analytics

Within the technology of technical development, so many sensible studying structures and technology are successfully proposed for machine identification, picture/video reputation and facts analytics. they may be more advantageous versions of conventional device studying technique inside the experience of education and prediction. Such class of new structures specially Deep learning (DL) fashions are based on Convolutional Neural Networks (CNN). CNN includes a couple of hidden layers, which correctly learns hidden capabilities from the training records in hierarchy of functions so as to recombined and combination for better studying. This paper affords a unique shape of intra version convolution neural community that makes use of wavelet as activation feature with a purpose to acquire higher gaining knowledge of characteristics in function extraction method. in this paper, CIFAR, and SNAE2 dataset are used for comparing the performances of proposed intra-model Deep Convolutional Neural community (DCNN). The effectiveness of theoretical implementation is established via simulation evaluation.
BAYESIAN OPTIMIZATION FOR AUTOMATIC TUNING OF MODEL PREDICTIVE CONTROLLERS

Recent improvements in data collection and computation have led to an increased adoption in data-driven optimization methods like Bayesian optimization (BO) across many disciplines. However, there are still problems, such as model predictive control (MPC) tuning, that are mainly optimized via heuristics or trial-and-error-based approaches, both of which can be time-consuming; these methods are also not scalable and cannot be applied to high dimensional problems. Recent work has shown that replacing these techniques with a more systematic and scalable algorithm like BO can significantly reduce search times and deliver reliable performance. However, traditional BO methods tend not make use of any of the ever-increasing preexisting information available for physical systems. We propose a new Bayesian optimization framework that can incorporate this information via a reference model to further improve the performance of the algorithm both by further accelerating the search and reducing the probability of converging to a local solution. We apply our approach to the MPC tuning problem of back-off terms for energy storage tanks at a central heating, ventilation, and air conditioning (HVAC) plant. We observe that the incorporation of the reference model results in a 33% reduction in the computation time required to find a solution.
Exploiting Diversification in Distributed Recommendation

Les utilisateurs du Web 2 . 0 sont de gros producteurs de donn´ees. Ces derni`eres sont stock´ees sur des syst`emes tr`es vari´es, allant des plateformes de partage aux r´eseaux sociaux. Le fait que l’espace de stockage soit distribu´e sur ces nombreuses et diverses plateformes rend le partage des donn´ees particuli`erement diﬃcile. Dans ce contexte de distribution `a grande ´echelle des utilisateurs et des donn´ees, une so-lution pour le partage de ces derni`eres est oﬀerte par la recherche et recommandation distribu´ee. En particulier, les approches `a base de ba-vardages ( i.e. gossip ) oﬀrent le passage `a l’´echelle, la dynamicit´e, l’au-tonomie et un contrˆole d´ecentralis´e. G´en´eralement, dans la recherche et recommandation `a base de bavardages, chaque utilisateur s’emploie `a construire un cluster des utilisateurs “pertinents” qui seront utilis´es ult´erieurement pour traiter les requˆetes. Cependant, le fait mˆeme que ces utilisateurs soient choisis en terme de “pertinence” introduit une redondance signiﬁcative au sein de chaque cluster. Ainsi, lorsqu’une requˆete est soumise
On the zeros of the Riemann zeta function in the critical strip. II

We describe extensive computations which show that Riemann's zeta function t(s) has exactly 200,000,001 zeros of the form a + it in the region 0 < t < 81,702,130.19; all these zeros are simple and lie on the line a = . (This extends a similar result for the first 81,000,001 zeros, established by Brent in Math. Comp., v. 33, 1979, pp. 1361-1372.) Counts of the numbers of Gram blocks of various types and the failures of "Rosser's rule" are given.
Container Scheduling Algorithm In Docker Based Cloud

In last few years, Docker container is used as light weight virtualization for building infrastructure as a service of cloud computing. Container placement on machines is traditional scheduling problem in docker based cloud. Docker supports default scheduling strategy called spread strategy. Its main objective is to place containers on each and every machine available in docker cluster. However, spread strategy does not consider load of machines. So, it leads to overloading or under loading of machines as well as not proper utilization of resources. In this paper, we proposed new scheduling algorithm that consider CPU usage of every machine in the docker cluster. To choose the most appropriate machine to place containers needed to be allocated in scheduling process, author define method for CPU utilization of every machine and select machine with minimum CPU utilization value for container placement. The experiment results shows that our scheduling algorithm use minimum number of machines in docker cluster as well as proper utilization of resources as compared to spread strategy.
Patient considerations in the treatment of cervical dystonia: focus on botulinum toxin type A

: Cervical dystonia is the most common form of focal dystonia characterized by involuntary muscle contractions causing abnormal movements and posturing of the head and neck and is associated with significant pain. Botulinum toxin is considered first-line therapy in the treatment of pain and abnormal head posturing associated with cervical dystonia. There are currently three botulinum toxin type A neurotoxins and one botulinum type B neurotoxin com-mercially available and US Food and Drug Administration (FDA) labeled for the treatment of cervical dystonia. This review will focus on the efficacy, safety, and therapeutic use of botulinum type A neurotoxins in the treatment of cervical dystonia. We conclude with a discussion of factors influencing toxin selection including therapeutic effect, duration of effect, side effect profile, cost, and physician preference.
Pelancongan Budaya di Malaysia: Membina Konsepnya (Cultural Tourism in Malaysia: Con guring its Concept)

Makalah ini berusaha membentuk deﬁ nisi pelancongan budaya dalam konteks Malaysia. Sumber utama rujukan adalah Akta Industri Pelancongan 1992 (termasuk versi 1992 asal dan juga versi yang dipinda sejak Januari 2006). Berdasarkan Akta tersebut, makalah ini mencadangkan deﬁ nisi pelancongan budaya harus dilihat daripada dua sudut iaitu, permintaan dan penawaran. Di samping itu, dicadangkan juga cara mengklasiﬁ kasikan produk budaya. Kata Kunci: pelancongan budaya, permintaan, penawaran, kecenderungan dan produk
Use of needle-based confocal laser endomicroscopy in the diagnosis of multifocal intraductal papillary mucinous neoplasm with high grade dysplasia

A 64-year-old woman with newly diagnosed type 2 diabetes mellitus was admitted with intermittent abdominal pain of 3 years’ duration. Computed tomography (CT) showed multifocal pancreatic cystic lesions with a dilated main pancreatic duct and calcification of a cyst wall (▶Fig. 1), raising suspicion of a mucinous neoplasm of the pancreas. Needle-based confocal laser endomicroscopy (nCLE) (AQ-Flex 19; Mauna Kea Technologies, France) is a novel imaging technique that enables real time in vivo microscopic imaging of a cyst wall during endoscopy, with a promising diagnostic yield [1–3]. The diagnosis of intraductal papillary mucinous neoplasm (IPMN) is indicated by the presence of finger-like papillae, while mucinous cystic neoplasms (MCNs) have a characteristic single band-like epithelium on nCLE [1–3]. We performed endoscopic ultrasoundguided fine-needle aspiration (EUS-FNA) in our patient, with EUS confirmingmultifocal anechoic cystic lesions extending from the head of the pancreas to the tail, with hyperechoic margins. nCLE showed dark aggregates of cells with surrounding small vessels (▶Video1), which had indicated features concerning for neoplasia in an earlier study [4]. The cyst fluid had a mucinous appearance and viscosity, and FNA cytology confirmed neoplastic mucinous cells (▶Fig. 2 a, b). The patient consequently underwent a total pancreatectomy (▶Fig. 3). Histopathological examination revealed an IPMN with high grade dysplasia (▶Fig. 4). Lymph node sampling was negative for metastasis. Wider use of nCLE has resulted in consensus on some of the characteristic features of common pancreatic cystic lesions, but this is an evolving area with scope for further definition of diagnostic features. In this case, nCLE images showed features concerning for neoplasia prior to surgery. The pattern of dark E-Videos
Co-Located Parallel Scheduling of Threads to Optimize Cache Sharing

For hard-real time systems, cache memory increases execution time variability, increasing the complexity of timing analysis. As such, cache memory is often treated exclusively as a detractor to schedulability. Cache-aware co-located scheduling aims to improve schedulability by carefully scheduling threads to share cached values. Cache sharing between threads potentially reduces task execution times and increases schedulability with fewer resources. Antithetically, co-located scheduling may reduce parallelism, decreasing efficiency. Thus, identifying the optimal set of threads to co-locate that minimizes the resources required while ensuring timing constraints is a complex challenge. This work establishes optimal co-location as NP-Hard in the strong sense. It offers an approximation method for the co-located scheduling of Fork-Join tasks named 3-PARM-HD. The approximation has a 3-factor guarantee and a resource augmentation bound of 3. The simulated evaluation shows 3-PARM-HD increases schedulability compared to an optimal intractable algorithm (without co-location) scheduling 28% more tasks with 30% fewer cores. Simulated results show 3-PARM-HD outperforms a 2-factor approximation for traditional makespan, scheduling 39% more tasks with 44% fewer cores. An experimental RISC-V evaluation running on a QEMU platform confirms the benefits of 3-PARM-HD, scheduling and executing tasks deemed unschedulable by a 2-factor makespan approximation without co-location.
PARTIAL DIFFERENTIAL

The paper addresses the computation of normal forms for some Partial Functional Di(cid:11)erential Equations (PFDEs) near equilibria. The analysis is based on the theory previously developed for autonomous retarded Functional Di(cid:11)erential Equations and on the existence of center (or other invariant) manifolds. As an illustration of this procedure, two examples of PFDEs where a Hopf singularity occurs on the center manifold are considered
Report of 2 Cases Aneurysms Embolized with Platinum Coils: Bone Formation in Elastase-Induced Rabbit

SUMMARY: Histologic findings in 71 elastase-induced rabbit aneurysms embolized with platinum coils were retrospectively reviewed. Mature bone formation was found in 2 aneurysms, one with coils implanted for 3 months and the other with coils implanted for 1 year. We present the histologic findings and offer potential explanations for these observations. These findings may be relevant in understanding mechanisms of aneurysm healing after coil embolization.
Boosting Reliability and Energy-E � iciency in Indoor LoRa

LoRa (Long Range) is a promising communication technology for enabling the next-generation indoor Internet of Things applications. Very few studies, however, have analyzed its performance indoors. Besides, these indoor studies investigate mostly the RSSI (received signal strength indicator) and SNR (signal-to-noise ratio) of the received packets at the gateway, which, as we show, may not unfold the poor performance of LoRa and its MAC (medium access control) protocol – LoRaWAN – indoors in terms of reliability and energy-e � ciency. In this paper, we evaluate the performance of LoRaWAN and use its key insights to boost the reliability and energy-e � ciency in indoor environments by proposing LoRaIN ( LoRa I ndoor N etwork), a new link-layer protocol that can be e � ectively used for indoor deployments. The approach to boosting the reliability and energy-e � ciency in LoRaIN is underpinned by enabling constructive interference with speci � c timing requirements for di � erent pairs of channel bandwidth and spreading factor and relaying precious acknowledgments to the end-devices with the assistance of several booster nodes. The booster nodes do not need any special capability and can be a subset of the LoRa end-devices. To our knowledge, LoRaIN is the � rst protocol for boosting reliability and energy-e � ciency in indoor LoRa networks. We evaluate its performance in an indoor testbed consisting of one LoRaWAN gateway and 20 LoRaWAN end-devices. Our extensive evaluation shows that when 15% of the end-devices operate as booster nodes, the reliability at the gateway increases from 62% to 95%, and the end-devices are approximately 2.5x energy-e � cient.
Palynostratigraphy, Palaeogeography and Source Rock Evaluation of the Nayband Formation at the Parvadeh area, Central Iran, Iran

The Nayband Formation was measured and sampled in Parvadeh area, southern Tabas city. In this area, this formation has a thickness of 1410 m, dividing into four members, namely Gelkan, Bidestan, Howz-e-sheikh and Howz-e-khan. A total 573 samples were treated for Palynological analysis, and only 120 samples were productive. A total of 57 miospore taxa and 11 plant macrofossil were encountered. Based on stratigraphic distribution of macrofossil and miospore taxa ten assemblage zones were established throughout the Nayband Formation. The encountered miospore taxa and plant macrofossil suggest Upper Triassic (Norian-Rhaetian) for the Nayband Formation.Rock-Eval data shows the presence of organic matter-rich shales with Type III kerogen. The Nayband Formation in the studied section has experienced high temperature which is confirmed by vitrinite reflectance measurements of 0.9-1.2 %VRr. At this thermal maturity stage, organic-rich shales in the formation have generated liquid hydrocarbons as evidenced by the occurrence of solid bitumen in the respective samples.
features in 16 cases. Congenital nasal masses: CT and MR imaging

The imaging studies of 16 children with pathologically proved nasal encephaloceles (eight), nasal dermal sinuses/nasal dermoids (seven), and nasal cerebral heterotopias, more commonly known as nasal gliomas (one), were retrospectively reviewed and compared with normal control subjects to define the normal anatomy and analyze deformities caused by these lesions. Nasal encephaloceles were always identified as complex masses of mixed soft tissue and CSF intensity that were contiguous with intracranial structures. The nasal glioma appeared as a mixed-intensity mass that, on the basis of the CT scan, appeared to be continuous with intracranial structures. Nasal dermal sinuses could only be identified as they coursed through the skin and subcuta neous soft tissue. They could not be identified when intraosseous. Moreover, on CT and, particularly, on MR, a number of potential diagnostic pitfalls were encountered. The most important of these was the normal fat deposition that occurs within bone during normal maturation and during aeration of the frontal sinuses and nasal bones. These fatty changes can easily be mistaken for fatty tumors if they are not recognized as normal anatomic changes. Interestingly, the classic plain film findings for congenital nasal masses were present only in the encephaloceles and nasal glioma; dermoids and dermal sinuses showed none of the classic plain film findings. In the six patients who had both CT and MR, the masses were easily
Effect of Pandemic on Women Entrepreneurs’ Economic Sustainability in SMEs: A Case Study of South Punjab

Purpose: The pandemic posed a major challenge to entrepreneurs around the world. Women entrepreneurs contribute significantly to economic growth. The recent pandemic situation impacted their reach to some extent, but women entrepreneurs, with their strong dedication to the crisis, succeeded during this process. The effect of the pandemic on women entrepreneurs’ economic sustainability is examined in this study
Handbook of School Violence and School Safety International Research and Practice

School connectedness is “the extent to which students feel personally accepted, respected, included, and supported by others in the school social environment” (Goodenow, 1993, p. 80). It is an important predictor of school violence, as well as related outcomes such as health risk behaviors and mental health. Connectedness reduces initial incidents of violence, buff ers the eff ect of violence exposure, and promotes an anti-bullying culture. School violence and bullying have also been associated with a subsequent decrease in school connectedness. Several theories contribute to our understanding of these relations but the construct, theoretical underpinnings, and pathways in and out of school connectedness require further examination. Despite numerous promising interventions, this line of research is in its infancy. Interventions harnessing this protective factor may have a ubiquitous positive impact on adolescent development. School connectedness is associated with a remarkable range of child and adolescent outcomes, including psychological well-being, antisocial and health risk behaviors, academic motivation, and academic achievement (e.g., Anderman & Freeman, 2004; Blum, 2005; Loukas, Ripperger-Suhler, & Horton, 2009). Further, multiple forms of harm are associated with students becoming disconnected from school (Bond et al., 2007). This chapter examines the construct of school connectedness, with additional focus on its association with school violence. We will begin by defi ning school connectedness and school violence, followed by a review of the research investigating the relations between these constructs and the related outcomes of health risk behaviors and mental health. Likely theoretical underpinnings of these relations will then be discussed. Pathways in and out of school connectedness will
Long-term Observation in Patients with Duchenne Muscular Dystrophy with Early Introduction of a Standing Program Using Knee–ankle–foot Orthoses

ABSTRACT Objectives: This study investigated the outcomes of the early introduction of a standing program for patients with Duchenne muscular dystrophy (DMD). Methods: This was a retrospective observational study of 41 outpatients with DMD aged 15–20 years. We introduced the standing program using knee–ankle–foot orthoses (KAFO) to slow the progression of scoliosis when ankle dorsiflexion became less than 0° in the ambulatory period. Results: Thirty-two patients with DMD were offered the standing program with KAFO; 12 continued the program until the age of 15 years (complete group) and 20 discontinued the program before the age of 15 years (incomplete group). The non-standing program group included 9 patients. The standing program with KAFO was significantly associated with the Cobb angle at the age of 15 years after adjustment for the duration of corticosteroid use and DMD mutation type (P=0.0004). At the age of 15 years, significant correlations were found between the ankle dorsiflexion range of motion (ROM) and non-ambulatory period (P=0.0010), non-ambulatory period and Cobb angle (P<0.0001), Cobb angle and percent predicted forced vital capacity (P=0.0004), and ankle dorsiflexion ROM and Cobb angle (P=0.0066). In the complete group, the age at ambulation loss (log-rank P=0.0015), scoliosis progression (log-rank P=0.0032), and pulmonary dysfunction (log-rank P=0.0006) were significantly higher than in the non-standing program group. Conclusions: The early introduction of a standing program for DMD patients may prolong the ambulation period and slow the progression of scoliosis and pulmonary dysfunction.
High-throughput synthesis provides data for predicting molecular properties and reaction success

The generation of attractive scaffolds for drug discovery efforts requires the expeditious synthesis of diverse analogues from readily available building blocks. This endeavor necessitates a trade-off between diversity and ease of access and is further complicated by uncertainty about the synthesizability and pharmacokinetic properties of the resulting compounds. Here, we document a platform that leverages photocatalytic N-heterocycle synthesis, high-throughput experimentation, automated purification, and physicochemical assays on 1152 discrete reactions. Together, the data generated allow rational predictions of the synthesizability of stereochemically diverse C-substituted N-saturated heterocycles with deep learning and reveal unexpected trends on the relationship between structure and properties. This study exemplifies how organic chemists can exploit state-of-the-art technologies to markedly increase throughput and confidence in the preparation of drug-like molecules.
Metabolic profiling of Mytilus coruscus mantle in response of shell repairing under acute acidification

Mytilus coruscus is an economically important marine bivalve mollusk found in the Yangtze River estuary, which experiences dramatic pH fluctuations due to seasonal freshwater input and suffer from shell fracture or injury in the natural environment. In this study, we used intact-shell and damaged-shell M. coruscus and performed metabolomic analysis, free amino acids analysis, calcium-positive staining, and intracellular calcium level tests in the mantle to investigate whether the mantle-specific metabolites can be induced by acute sea-water acidification and understand how the mantle responds to acute acidification during the shell repair process. We observed that both shell damage and acute acidification induced alterations in phospholipids, amino acids, nucleotides, organic acids, benzenoids, and their analogs and derivatives. Glycylproline, spicamycin, and 2-aminoheptanoic acid (2-AHA) are explicitly induced by shell damage. Betaine, aspartate, and oxidized glutathione are specifically induced by acute acidification. Our results show different metabolic patterns in the mussel mantle in response to different stressors, which can help elucidate the shell repair process under ocean acidification. furthermore, metabolic processes related to energy supply, cell function, signal transduction, and amino acid synthesis are disturbed by shell damage and/or acute acidification, indicating that both shell damage and acute acidification increased energy consumption, and disturb phospholipid synthesis, osmotic regulation, and redox balance. Free amino acid analysis and enzymatic activity assays partially confirmed our findings, highlighting the adaptation of M. coruscus to dramatic pH fluctuations in the Yangtze River estuary.
Developing Simulated and Virtual Patients in Psychological Assessment – Method, Insights and Recommendations

The phenomena of the simulated (SP) and virtual patient (VP) is widely described in the literature. Although it is difficult to find any practical information on developing these methods for teaching psychological assessment. Having conducted a long-term research project regarding this topic, we report the experience gained and retrospectively identify many mistakes. In this article, we present a summary of creating and using both SP and VP methods in clinical psychology and propose some insights and tips for their development, based on our experiences. While the project concerned clinical psychology, we believe the reflections might be applicable to a wider group of educational situations in which students develop competencies to carry out a diagnostic process with a real patient.