Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishment of Novel Neuroendocrine Carcinoma Patient-Derived Xenograft Models for Receptor Peptide-Targeted Therapy

Simple Summary Gastroenteropancreatic neuroendocrine neoplasms (GEP NENs) are a family of rare cancers with rising incidence in recent years. GEP NEN tumor cells are difficult to propagate, and few cellular and patient-derived xenograft (PDX) models are available for testing new therapies and studying the heterogeneous nature of these cancers. Here, we described the establishment and characterization of two novel NEC cellular and PDX models (NEC913 and NEC1452). NEC913 PDX tumors express somatostatin receptor 2 (SSTR2), whereas NEC1452 PDX tumors are SSTR2 negative. As a proof-of-concept study, we demonstrated how these PDX models can be used for peptide imaging experiments targeting SSTR2 using fluorescently labelled octreotide. The NEC913 and NEC1452 PDX lines represent valuable new tools for accelerating the process of drug discovery for GEP NENs. Abstract Gastroenteropancreatic neuroendocrine neoplasms (GEP NENs) are rare cancers consisting of neuroendocrine carcinomas (NECs) and neuroendocrine tumors (NETs), which have been increasing in incidence in recent years. Few cell lines and pre-clinical models exist for studying GEP NECs and NETs, limiting the ability to discover novel imaging and treatment modalities. To address this gap, we isolated tumor cells from cryopreserved patient GEP NECs and NETs and injected them into the flanks of immunocompromised mice to establish patient-derived xenograft (PDX) models. Two of six mice developed tumors (NEC913 and NEC1452). Over 80% of NEC913 and NEC1452 tumor cells stained positive for Ki67. NEC913 PDX tumors expressed neuroendocrine markers such as chromogranin A (CgA), synaptophysin (SYP), and somatostatin receptor-2 (SSTR2), whereas NEC1452 PDX tumors did not express SSTR2. Exome sequencing revealed loss of TP53 and RB1 in both NEC tumors. To demonstrate an application of these novel NEC PDX models for SSTR2-targeted peptide imaging, the NEC913 and NEC1452 cells were bilaterally injected into mice. Near infrared-labelled octreotide was administered and the fluorescent signal was specifically observed for the NEC913 SSTR2 positive tumors. These 2 GEP NEC PDX models serve as a valuable resource for GEP NEN therapy testing.
Placement of Optical Sensors in 3D Terrain Using a Bacterial Evolutionary Algorithm

This paper proposes an optimization framework for terrain large scale optical sensor placement to improve border protection. Compared to the often used, maximal coverage of an area approach, this method minimizes the undetected passages in the monitored area. Border protection is one of the most critical areas for sensor placement. Unlike traditional border protection solutions, we do not optimize for 2D but for 3D to prevent transit. Additionally, we consider both natural and built environmental coverings. The applied environmental model creates a highly inhomogeneous sensing area for sensors instead of the previously used homogeneous one. The detection of each sensor was provided by a line-of-sight model supplemented with inhomogeneous probabilities. The optimization was performed using a bacterial evolutionary algorithm. In addition to maximizing detection, minimizing the number of the applied sensors played a crucial role in design. These two cost components are built on each other hierarchically. The developed simulation framework based on ray tracing provided an excellent opportunity to optimize large areas. The presented simulation results prove the efficiency of this method. The results were evaluated by testing on a large number of intruders. Using sensors with different quantities and layouts in the tested 1×1×1 km environment, we reduced the probability of undetected intrusion to below 0.1% and increased the probability of acceptable classification to 99%.
Passive Beamforming for IRS-Assisted MU-MIMO Systems With One-Bit ADCs: An SER Minimization Design Approach

In this letter, we investigate the passive beamforming for intelligent reflecting surface (IRS)-assisted multi-user multiple-input multiple-output systems with one-bit analog-to-digital converters aiming at minimizing the symbol error rate (SER). By leveraging the concept of signal space, we formulate an optimization problem of maximizing the minimum Euclidean distance between different signal vectors in such a space. Two algorithms are proposed to tackle the highly non-convex problem, where one is to improve the distribution of the distances so that the minimum one is increased, and the other is to derive a lower bound of the minimum distance and maximize the bound using alternating optimization and manifold optimization. Simulation results reveal that with the proposed two algorithms, the optimized IRS can significantly improve the SER performance over the conventional designs.
The Impact of COVID–19 on Albanian Tourism

Objectives: Nowadays, tourism continues to represent the most dynamic and open part of the countries’ economic system. This research paper explores tourism in Albania over the years, with particular focus on the development of tourism during the pandemic situation, mainly the number of entrances and exits of visitors to the country compared to the years before. Methods/Analysis: This study will take into consideration the secondary data provided by the World Travel and Tourism Council and INSTAT Albania focused on 2020 as the pandemic year, compared to the previous years by investigating the movements of visitors in Albania, their origins, and the ways of travel through seaports, air, or land. The travel purposes of Albanian visitors are different, but this research will focus only on those purposes for holidays during the summer season. The data will be presented through the percentage of a frequency distribution at each entrance and exit point, in some cases explained by tables and graphs, comparing the months in the peak summertime. Findings: Statistical analyses represented in this research give a clear picture of developing tourism in Albania during the pandemic year, mostly tourists from Kosovo. Improvement: This research paper summarized some specific recommendations to the government institutions and SMEs specializing in the tourism sector to be ready for the future challenge, even deep dives in the pandemic zone.JEL Classification:N 20, N3 E24, P23 J5 Doi: 10.28991/esj-2022-SPER-03 Full Text: PDF
Shape Modulation of Plasmonic Nanostructures by Unconventional Lithographic Technique

Conventional nano-sphere lithography techniques have been extended to the fabrication of highly periodic arrays of sub-wavelength nanoholes in a thin metal film. By combining the dry etching processes of self-assembled monolayers of polystyrene colloids with metal physical deposition, the complete transition from increasing size triangular nanoprism to hexagonally distributed nanoholes array onto thin metal film has been gradually explored. The investigated nano-structured materials exhibit interesting plasmonic properties which can be precisely modulated in a desired optical spectral region. An interesting approach based on optical absorbance measurements has been adopted for rapid and non-invasive inspections of the nano-sphere monolayer after the ion etching process. By enabling an indirect and accurate evaluation of colloid dimensions in a large area, this approach allows the low-cost and reproducible fabrication of plasmonic materials with specifically modulated optical properties suitable for many application in biosensing devices or Raman enhanced effects.
VKLJUČENOST SLOVENSKEGA DRUŽBOSLOVJA IN HUMANISTIKE V WEB OF SCIENCE IN SCOPUS

Web of Science in Scopus veljata za največji bazi indeksov citiranja na svetu. Pomembni sta z vidika dostopa do svetovne znanstvene literature in z vidika mehanizmov nadzora kvalitete raziskovanja na nacionalnih ravneh. Namen raziskave je bil ugotoviti, v kateri od obeh baz je znanstvena produkcija slovenskega družboslovja in humanistike bolje zastopana ter kje so revije, v katerih raziskovalci s področja družboslovja in humanistike objavljajo, bolje rangirane. Na osnovi bibliografskih podatkov, ki so dostopni prek Informacijskega sistema o raziskovalni dejavnosti v Sloveniji (SICRIS) in povezani s podatki spletnih baz WoS in Scopus, je bila izvedena analiza znanstvenih objav in prejetih citatov izbranega vzorca slovenskih raziskovalcev v obdobju 2009–2013. Vzorec predstavlja izbor stotih slovenskih raziskovalcev s področja družboslovja in humanistike, ki imajo največ doseženih in zabeleženih točk v sistemu SICRIS. Rezultati so potrdili izhodiščno hipotezo, da je v Scopusu indeksiranih več objav s področja družboslovja in humanistike, ki so prejele več citatov, kot je teh objav in citatov v WoS. Revije, v katerih so objavljali raziskovalci, so v Scopusu višje rangirane. Ugotovitve tako kažejo na to, da je Scopus primernejše orodje za nacionalno znanstveno evalvacijo na področju družboslovja in humanistike v Sloveniji in da je v prihodnosti treba več pozornosti posvetiti uporabi Scopusa na teh dveh področjih.
Security mechanisms for wireless sensor networks

Wireless sensor networks have received a lot of attention recently due to their wide applications in military and civilian operations. Example applications include target tracking, scientific exploration, and data acquisition in hazardous environments. Security becomes one of the main concerns when there are malicious attacks against the network. However, providing security services in such networks turns out to be a challenging task due to the resource constraints on sensor nodes and the node compromise attacks. These features and challenges motivate the research on security mechanisms for wireless sensor networks. This dissertation includes three studies on security mechanisms for wireless sensor networks. The first study extends the capabilities of μTESLA, a broadcast authentication technique for wireless sensor networks, so that it can cover a long time period and support a large number of sensor nodes as well as potential senders in the network. The second study addresses how to establish pairwise keys between sensor nodes in a wireless sensor network. A key pre-distribution framework based on bivariate polynomial pool is developed for this purpose. Two efficient instantiations of this framework are also provided: a random subset assignment scheme and a hypercube-based key pre-distribution scheme. To further improve the pairwise key establishment in static sensor networks, prior deployment knowledge, post deployment knowledge and group-based deployment knowledge are used to facilitate key pre-distribution. The third study investigates how to enhance the security of location discovery in sensor networks. An attack-resistant MMSE method and a voting-based method are developed to tolerate malicious attacks against location discovery. Both methods can survive malicious attacks even if the attacks bypass traditional cryptographic protections such as authentication, as long as the benign beacon signals constitute the majority of the “consistent” beacon signals. In addition, a number of techniques are proposed to detect and revoke malicious beacon nodes that supply malicious beacon signals to sensor nodes.
Exergames and motor skills learning: a brief summary

The term "exergames" refers to a category of video games in which the interaction is not based only on hand-eye coordination, but on the whole body, through the use of nonstandard controllers, like Nintendo Wiimote or Balance Board and Microsoft Kinect sensor. The exergames were immediately hailed as a welcome development, for the contribution they offer as a weapon against a sedentary lifestyle and the level of user involvement, which adds to the traditional value of video games the attractiveness of natural interfaces. The current trend is to consider how the exergames present many potential advantages in the context of physical education and wellness promotion of. However, the current generation of exergames is not designed specifically to support teaching of motor activities or rehabilitation. There are no products that can count on the basis of a robust theoretical framework and that are oriented to the acquisition of specific motor skills, for use in physical education teaching and rehabilitation. Knowledge of basic mechanisms of motor control and of dynamics connected to motor skills learning may be the theoretical support to the design and development of exergames.
Leaders and Scholars: How Faculty Mentoring Behavior Influences the Development of Leadership Self-Efficacy

Students pursuing doctoral degrees are expected to become leaders in their disciplines. Given that, leadership development should be an important part of any curriculum that prepares doctoral students for professional careers after graduation. However, there are questions regarding the effectiveness and prevalence of formal leadership development structures in graduate school. With this gap in formal professional preparation, faculty mentors are expected to provide the necessary socialization, support, and guidance for doctoral students to develop as leaders in their disciplines. This mixed-methods study of graduate students was conducted using online questionnaires and personal interviews to determine the impact of faculty mentoring behaviors on the development of doctoral student leadership self-efficacy. Findings suggest that students in doctoral programs experience significant negative emotional arousal in the form of uncertainty, anxiety, and self-doubt. Faculty mentors that are accessible, trustworthy, and provide constructive feedback can mitigate these negative feelings and encourage the development of leadership self-efficacy through verbal support and mastery experiences. In addition, the data suggests that active student cohorts and effective departmental leadership are also important to the development of doctoral student leadership self-efficacy.
Identity Management in Cloud Computing: Issues, Incidents and Solutions

Cloud computing refers to computing over the internet. Here internet refers to as cluster of clouds. Cloud computing provides its customers with a virtual cloud. The World Wide Web is casted to a single virtual computer by the cloud. Cloud computing is a very vast term. It has grown in the recent past a lot. Due to the immense advantages of cloud came the limitations too. The major hurdle is the security in the cloud. To keep the customer in your grip you need to make them sure that the data stored over the cloud is absolutely in safe hands. But the user is still in shadow of doubt, is my data safe? What if it lands into the wrong hands? How about tempering of data by unauthorized person? What if the culprits find where my data is kept? God knows what all questions will be haunting the customer. Also this paper proposes the use of user identity to manage the data saved on the cloud. This will help to achieve a safe distance from security threats. This paper will help all those in traumas to narrow out different security models and ideas in thus to secure cloud computing.
Design of SiGe/Si quantum-well optical modulators

An electro-optic modulator containing a single SiGe/Si quantum-well has been designed for operation at λ0 = 1.55 μm. This single quantum-well modulator has a lower VπLπ than the 3 quantum-well modulator recently designed and optimized by Maine et al. for operation at λ0 = 1.31 μm, for which the VπLπ product was 1.8 V·cm [25]. Both modulators are derived from the detailed design given for their modulator in [40]. This single quantum-well modulator contains a Si0.8Ge0. 2 quantum-well with NonIntentionally Doped (NID) and P+ highly doped layers on either side. With no field applied, holes from the P+ layers are captured by and confined in the quantum-well and when a reverse bias is applied holes are released from the quantum well and drift to the P+ contact layer. Variations of the hole distribution lead to changes in the free-carrier absorption and the refractive index of each layer and subsequently to phase modulation of guided TE modes. The VπLπ product of the single quantum-well modulator is estimated 1.09 V·cm for low voltage linear modulation and 1.208 V·cm for 0 to 1.6 V digital modulation, whereas the 3 quantum-well modulator gives a VπLπ of 2.039 V·cm for 0 to 6 V digital modulation for operation at λ0 = 1.55 μm. Also, the optical loss in the single quantum-well (5.36 dB/cm at V = 0 V) is lower than that of the 3 quantum-well structure (5.75 dB/cm at V = 0 V). This ii
Touch Gesture and Emotion Recognition Using Decomposed Spatiotemporal Convolutions

Touch is one of the most essential and effective means to convey affective feelings and intentions in human communication. For a social robot, the ability to recognize human touch gestures and emotions could help realize efficient and natural human–robot interaction. To this end, an affective touch gesture dataset involving ten kinds of touch gestures and 12 kinds of discrete emotions was built by using a pressure sensor array, in which the acquired touch gesture samples are three-dimensional (3-D) spatiotemporal signals that include the shape appearance and motion dynamics. Due to the excellent performance of convolutional neural networks (CNNs), spatiotemporal CNNs have been effectively verified by researchers for 3-D signal classification. However, the large number of parameters and the high complexity of training 3-D convolution kernels remain to be solved. In this article, a decomposed spatiotemporal convolution was designed for feature representation from the raw touch gesture samples. Specifically, the 3-D kernel was factorized into three 1-D kernels by tensor decomposition. The proposed convolution has a simpler but deeper architecture than standard 3-D convolution, which improves the nonlinear expression ability of the model. Besides, the computation cost can be reduced without compromising recognition accuracy. Using a user-dependent test mode, the proposed method yields the accuracies of up to 92.41% and 72.47% for touch gesture and emotion recognitions, respectively. Experimental results demonstrate the effectiveness of the proposed method, and at the same time, preliminarily verify the feasibility of robot perceiving human emotions through touch.
Considering human factors in BCI experiments: a global approach

The development of new enabling devices is one of the most credible short and medium-term applications of brain-computer interfaces (BCI). Unlike many other recent assistive technologies (AT), present BCI systems usually do not result from a "design for all" approach, since they are mainly effective for people suffering from severe motor disabilities. However, many authors have shown that it is crucial to take into account adaptability, flexibility, customisability and other ergonomics related criteria while designing a BCI-based AT. In this paper, we specify a framework that could expedite the transferability of BCI experiments from labs to clinical departments and later to patients' homes. We highlight the interest of designing dedicated experimentation facilities (namely a Room for BCI Experimentation or RBCIE) in which the developed BCI systems can be efficiently tested and validated. More generally, we highlight the interest of a multidisciplinary design approach introducing human factors at the core of concerns.
Small Antenna Measurement Facilities

1. SPHERICAL ANTENNA MEASUREMENT In the US, the Certiflcation Program of the CTIA-The Wireless Association was the flrst organization to publish a test plan for Over-The-Air (OTA) testing of mobile terminals. During the last few years there has been signiflcant progress towards developing standardized testing methods for wireless devices. A key element in such testing is the accurate evaluation of radiated performance while operating in the respective communications. Such testing is commonly referred to as testing and is becoming a mandatory part of the product certiflcation required by most network operators. In those papers [1{8], facilities of mobile phone measurement have recently commissioned a spherical far-fleld measurement system (Fig. 2). In this paper describes a spherical antenna measurement system that addresses the challenges in testing antennas for wireless communications. It is a 3D system for measuring low gain antennas and is well matched for PDA Phone or wireless antenna testing. It has efiectively demonstrated testing and characterization of far-fleld performance, CTIA Over-The-Air (OTA) performance data, radiated power (EIRP), and sensitivity (EIS). In passive mode measurements of antennas are performed by a vector network analyzer. It provides radiation pattern data in any polarization, as well as antenna e‐ciency. In system mode measurements, commonly referred to as OTA Performance Testing, of mobile phones and other cellular terminals can be performed. It is connected to a radio communications tester (Agilent 8960). The communications tester sets up a phone call through the 3D polarization scanning, enabling measurements of radiated transmitter power (EIRP) and receiver sensitivity (EIS) over the entire spherical measurement surface surrounding the mobile phone.
Neonatal sepsis and resistance pattern of isolates in Tertiary level neonatal unit: Time to evaluate the empirical antibiotics selection

Objective: To find out the most common organisms involved in neonatal sepsis origination and observe the pattern of antibiotic sensitivity and resistance of bacterial isolates. Materials and Methods: This descriptive cross-sectional study was conducted at the Department of Paediatrics Izzat Ali Shah Hospital, Wah Cantt. Out of 420 patients admitted with sepsis in NICU, 19.5% of patients with positive blood cultures were included in the study. A consecutive, non-probability sampling technique was used. Results: Out of 82 positive blood cultures gram-positive bacteria were observed in 19 patients (23.2%) and gram-negative bacteria were seen in 63 patients (76.8%). The most common gram-negative pathogens isolated were Acinetobacter (29.3%) and Klebsiella (24.4%). Staphylococcus aureus (12.2%) was the commonest gram-positive organism isolated. Gram-negative organisms showed maximum sensitivity to Tigecycline and Colistin and were resistant to Cefixime, Aztreonam, Amoxicillin, and Ceftriaxone. Gram-positive bacteria were sensitive to Teicoplanin, Linezolid, and Vancomycin while resistance was shown to penicillin and amoxicillin.Conclusion: The current study showed that gram-negative bacteria were the major contributors to sepsis in the respective setup and showed resistance to first-line antibiotics such as Penicillins and Cephalosporins. Strict infection control measures need to be implemented to avoid the emergence of resistant strains of pathogens in NICUs. This will help to reduce the incidence of neonatal sepsis leading to mortality.
AN ANALYSIS OF SPEAKING ACTIVITIES ON ENGLISH TEXTBOOK BASED ON 2013 CURRICULUM

The aims of this research are to find out the compatibility of English Textbook with the scientific approach principles of 2013 curriculum and criteria of good English textbook. This research was focused on speaking activities in the textbook for senior high school. This research uses qualitative research by using document analysis. The results show that (1) the compatibility of the scientific approach 2013 Curriculum fulfilled 90 point of the qualifications of the existing criteria (2) and the assessment for good English textbook by the expert, fulfilled 85 point compatibility with the existing criteria. Based on the analysis, it was found that the speaking activities of the textbook is adequate for teacher to use this textbook. It means that the speaking activities of the textbook fulfill the criteria based on the scientific approach of 2013 Curriculum and also fulfill the criteria of good English textbook by the expert opinion. Key words: Speaking, Analysis, Compatible, Textbook, 2013 Curriculum.