Miracle-dz/UniFAR-FTUs huggingface dataset:
Becoming “Real Men”

Previous studies of adolescent male sexual violence have ignored—among other issues—offender agency and gender. The life-history method offers a means to explore both. In this article, the life histories of two adolescent male sex offenders are juxtaposed and analyzed. Although both boys initially launched a hegemonic masculine project, bodily and sexual practices institutionalized in the school presented “masculinity challenges” to both boys and played a major role in structuring their subsequent formation of subordinate masculinities. Both boys eventually used sexual violence as a resource for over-coming the masculinity challenges and, thus, constructing a fragmented representation of in-school dominant masculinity. The life-history data support feminist perspectives that highlight the meaningful actions of individual agents and the significance of gender accomplishment as socially situated and intermittent. The article suggests that future research examine the salience of masculinity challenges, the body, and sexuality to adolescent male sexual violence.
A Deterministic Reduction for the Gap Minimum Distance Problem

Determining the minimum distance of a linear code is one of the most important problems in algorithmic coding theory. The exact version of the problem was shown to be NP-complete by Vardy. The gap version of the problem was shown to be NP-hard for any constant factor under a randomized reduction in an earlier work. It was shown in the same paper that the minimum distance problem is not approximable in randomized polynomial time to the factor 2<sup>log1-ϵ</sup><i>n</i> unless <i>NP</i> ⊆ <i>RTIME</i><sup>(2polylog(n)</sup>). In this paper, we derandomize the reduction and thus prove that there is no deterministic polynomial time algorithm to approximate the minimum distance to any constant factor unless <i>P</i>=<i>NP</i>. We also prove that the minimum distance is not approximable in deterministic polynomial time to the factor 2<sup>log1-ϵ</sup><i>n</i> unless <i>NP</i> ⊆ <i>DTIME</i><sup>(2polylog(n)</sup>). As the main technical contribution, for any constant 2/3 <; ρ <; 1, we present a deterministic algorithm that given a positive integer <i>s</i> , runs in time <i>poly</i>(<i>s</i>) and constructs a code <i>C</i> of length <i>poly</i>(<i>s</i>) with an explicit Hamming ball of radius ρ<i>d</i>(<i>C</i>), such that the projection at the first <i>s</i> coordinates sends the codewords in the ball surjectively onto a linear subspace of dimension <i>s</i> , where <i>d</i>(<i>C</i>) denotes the minimum distance of <i>C</i>. The codes are obtained by concatenating Reed-Solomon codes with Hadamard codes.
Method for Subwavelength Target Recognition Based on Wavelet Transform and Time Reversal

In this paper, we present a novel approach to subwavelength target recognition by integrating wavelet transform and time reversal techniques. The initial step involves employing the time reversal method to extract time-domain signals encapsulating subwavelength target data from a confined metallic cavity. Subsequently, we employ a basis pursuit approach rooted in wavelet transform to disentangle these time-domain signals, resulting in a comprehensive time-frequency distribution portrayal. This representation effectively captures the intricate time-frequency attributes embedded within the time-domain signals, consequently facilitating the precise identification of subwavelength targets.
Diversity in the National Basketball Association: a narrative policy analysis

The introduction of a new dress code by the National Basketball Association (NBA) in 2005 was received with conflicting interpretations, reflecting a split along different social and political views regarding race and economic relations. The analyst attempting to understand the impact of this organizational policy is faced with the difficult task of having to work with incompatible interpretations of the new code, lacking in many cases a common basis on which a general appraisal of this policy can be constructed. In order to build this common foundation, Emery Roe’s narrative policy analysis is used to determine the stories built around this policy and to find a metanarrative that can provide the needed common ground on which the policy can be examined. The narrative analysis of media discourses regarding the NBA dress code identified two main stories, economic and cultural. The first interprets the dress code as a purely economic decision, separating the policy from its social context, while the second ties the new policy to broader discourses on inequality and racism. Based on nonstories identified in the media discourses, an organizational culture narrative was proposed as a metanarrative, due to its ability at the same time to use empirical evidence to appeal to economic arguments and to place organizational policy in a broader social context. This kind of metanarrative has the potential to help policy analysts mediate between highly conflicting views of organizational policy.
An output structure for a bi-modal 6.4-Gbps GDDR5 and 2.4-Gbps DDR3 compatible memory interface

A bi-modal x32 memory interface supports 6.4-Gbps GDDR5 signaling as well as 2.4-Gbps DDR3 signaling with a 1.5V IO supply. The interface incorporates a novel driver and pre-driver structure that supports one-tap equalization and presents very small capacitive loading to the pins. The entire interface, including both data and request channels achieves 11.6mW/Gbps and 27.7mW/Gbps energy efficiencies in GDDR5 and DDR3 modes respectively, and communicates successfully with 1.6-Gbps DDR3 and 6.0-Gbps GDDR5 DRAMs.
Structural testing for message‐passing concurrent programs: an extended test model

Developing high‐quality, error‐free message‐passing concurrent programs is not trivial. Although a number of different primitives with associated semantics are available to assist such development, they often increase the complexity of the testing process. In this paper, we extend our previous test model for message‐passing programs and present new structural testing criteria, taking into account additional features used in this paradigm, such as collective communication, non‐blocking sends, distinct semantics for non‐blocking receives, and persistent operations. Our new model also recognizes that sender primitives cannot always be matched with every receive primitive. This improvement allows us to remove statically a significant number of infeasible synchronization edges that would otherwise have to be analyzed later by the tester. In this paper, the test model is presented using the Message‐Passing Interface standard; however, our new model has been designed to be flexible, and it can be configured to support a range of different message‐passing environments or languages. We have carried out case studies showing the applicability of the new test model to represent message‐passing programs and also to reveal errors, mainly those errors related to inter‐process communication. In addition to increasing the number of features supported by the test model, we have also reduced the overall cost of testing significantly. Our case studies suggest that the number of synchronization edges can be reduced by up to 93%, mainly by eliminating infeasible edges between unmatchable communication primitives. The main contribution of the paper is to present a more flexible test model that provides improved coverage for message‐passing programs and at the same time reduces the cost of testing significantly. Copyright © 2012 John Wiley & Sons, Ltd.
Emotion Recognition by Facial Expressions and Speech Using Deep Learning

A highly harmonic human-computer interaction experience is being realized thanks to the quick development of emotion recognition. This research provided two ways for emotion recognition, one method using facial expressions and another model using speech, when considering the complementary of the emotional content of speech and expressions on the face. We use the CNN to learn facial emotion features and LSTM to acquire speech emotion features. Concurrently the multiple small-scale kernels with a convolution block will be drafted to extract aspects of facial expression. We use the LSTM model drafted to extract the significant speech features. Finally, we use aspects of facial expression and speech features separately to find the emotion. The model for recognizing facial emotions was evaluated using the FER 2013 dataset and the model for voice emotion recognition was tested on the RAVDESS dataset.
Genital self‐mutilation: there is no method in this madness

The genital mutilation of John Bobbitt by his wife Lorena was recently sensationalized in the media [1] and human biting of the penis during fellatio has been recorded [2]. Group ritual genital mutilation is a custom of a sect of Australian Aborigines [3], in which the blood is drunk by the in®rm, who believe that it restores health. Genital self-mutilation (GSM) has also been recorded many times; indeed, self-mutilation of the penis has been observed in mice [4]. Male GSM was recorded in Greek mythology; the beautiful god Eshmun castrated himself to evade the erotic advances of the goddess Astronae, and autocastration came to be known as the Eshmun complex [5]. The ®rst reported case of GSM in the English literature was by Strock in 1901. The condition occurs in both sexes but is under-reported [6,7]. Papers on GSM published in the past century are reviewed here to identify the characteristics of this malady.
Closely related phytoplankton species produce similar suites of dissolved organic matter

Production of dissolved organic matter (DOM) by marine phytoplankton supplies the majority of organic substrate consumed by heterotrophic bacterioplankton in the sea. This production and subsequent consumption converts a vast quantity of carbon, nitrogen, and phosphorus between organic and inorganic forms, directly impacting global cycles of these biologically important elements. Details regarding the chemical composition of DOM produced by marine phytoplankton are sparse, and while often assumed, it is not currently known if phylogenetically distinct groups of marine phytoplankton release characteristic suites of DOM. To investigate the relationship between specific phytoplankton groups and the DOM they release, hydrophobic phytoplankton-derived dissolved organic matter (DOMP) from eight axenic strains was analyzed using high-performance liquid chromatography coupled to mass spectrometry (HPLC-MS). Identification of DOM features derived from Prochlorococcus, Synechococcus, Thalassiosira, and Phaeodactylum revealed DOMP to be complex and highly strain dependent. Connections between DOMP features and the phylogenetic relatedness of these strains were identified on multiple levels of phylogenetic distance, suggesting that marine phytoplankton produce DOM that in part reflects its phylogenetic origin. Chemical information regarding the size and polarity ranges of features from defined biological sources was also obtained. Our findings reveal DOMP composition to be partially conserved among related phytoplankton species, and implicate marine DOM as a potential factor influencing microbial diversity in the sea by acting as a link between autotrophic and heterotrophic microbial community structures.
NewGen: A Blockchain-Based Solution for Future Automotive Electronic Supply Chain Management

The automotive industry adopts digital technologies to automate, streamline, and increase transparency in their manufacturing pipeline. The automotive supply chain has experienced problems with management and product operations due to a lack of security, trust, traceability, and transparency. Blockchain has, by design, the potential and capability to solve these issues since it entails data provenance, proof of ownership, identity, data quality, traceability, and supply chain management. This decentralized approach allows actors to trust the system, manage identities, and trace actions. This paper proposes a blockchain-based solution to enhance traceability and shorten wait times in the automotive supply chain. The Project New Generation Test Systems for Future Automotive Electronics (Newgen) intends to increase traceability in automotive supply chain management, using hyperledger Fabric-based consortium blockchain. This paper proposes the system architecture and explains how the machine’s configuration can be traced and protected.
Postnatal Deletion of the Type II Transforming Growth Factor-&bgr; Receptor in Smooth Muscle Cells Causes Severe Aortopathy in Mice

Objective—Prenatal deletion of the type II transforming growth factor-&bgr; (TGF-&bgr;) receptor (TBRII) prevents normal vascular morphogenesis and smooth muscle cell (SMC) differentiation, causing embryonic death. The role of TBRII in adult SMC is less well studied. Clarification of this role has important clinical implications because TBRII deletion should ablate TGF-&bgr; signaling, and blockade of TGF-&bgr; signaling is envisioned as a treatment for human aortopathies. We hypothesized that postnatal loss of SMC TBRII would cause aortopathy. Approach and Results—We generated mice with either of 2 tamoxifen-inducible SMC-specific Cre (SMC-CreERT2) alleles and homozygous floxed Tgfbr2 alleles. Mice were injected with tamoxifen, and their aortas examined 4 and 14 weeks later. Both SMC-CreERT2 alleles efficiently and specifically rearranged a floxed reporter gene and efficiently rearranged a floxed Tgfbr2 allele, resulting in loss of aortic medial TBRII protein. Loss of SMC TBRII caused severe aortopathy, including hemorrhage, ulceration, dissection, dilation, accumulation of macrophage markers, elastolysis, abnormal proteoglycan accumulation, and aberrant SMC gene expression. All areas of the aorta were affected, with the most severe pathology in the ascending aorta. Cre-mediated loss of SMC TBRII in vitro ablated both canonical and noncanonical TGF-&bgr; signaling and reproduced some of the gene expression abnormalities detected in vivo. Conclusions—SMC TBRII plays a critical role in maintaining postnatal aortic homeostasis. Loss of SMC TBRII disrupts TGF-&bgr; signaling, acutely alters SMC gene expression, and rapidly results in severe and durable aortopathy. These results suggest that pharmacological blockade of TGF-&bgr; signaling in humans could cause aortic disease rather than prevent it.
Acceleration of GANs for Potato Crop Disease Identification via FPGA

Effective management of plant diseases is essential for ensuring food protection, as a wide range of diseases can significantly reduce crop yields. Potatoes, a staple crop worldwide, are particularly susceptible to various diseases. The timely identification and early warning systems are pivotal in curbing the proliferation of potato diseases and ultimately increasing crop productivity. In recent times, Generative Adversarial Networks (GANs) have emerged as revolutionary technology within the realm of artificial intelligence and machine learning. These networks provide a diverse dataset of synthetic images, thereby facilitating the development of robust computer vision algorithms capable of accurately discerning and categorizing various potato crop diseases. In the scope of our work, we have implemented and accelerated GAN on a Xilinx FPGA SoC. This platform has exceptional efficiency in handling such challenges in terms of power consumption and performance. Our method has also achieved superior power and performance efficiency compared to conventional GPU and CPU setups, boasting an impressive 0.015 ms average time per image in the FPGA's configuration.
Explaining gender differences on SAT-math items.

This study used a cognitive process approach to explain gender differences on the math subtest of the Scholastic Aptitude Test (SAT). This approach specifies that gender differences exist because male students may carry out certain cognitive operations (e.g., knowledge access, strategy assembly) more effectively than female students. High school students were given SAT items and measures of their prior knowledge and strategies. Results showed that male students performed better than female students on the SAT items. Regression analyses, however, showed that whereas prior knowledge and strategies explained nearly 50% of the variance in SAT scores, gender explained no unique variance
Effects of massage on the anxiety of patients receiving percutaneous coronary intervention.

BACKGROUND This study aimed to explore the effects of massage on the state anxiety of patients receiving percutaneous coronary intervention (PCI). SUBJECTS AND METHODS In accordance with the principle of the minimum allocation of imbalance index for comparability, a total of 117 cases that were ready to receive PCI were divided into two groups (59 in the intervention group and 58 in the control group). The patients in the control group received routine care, whereas the patients in the observation group were given massage intervention. The state anxiety, heart rate, and blood pressure of the two groups were observed and compared. RESULTS Massage treatments reduced the emergency response and level of anxiety of cardiovascular patients before PCI. The post-intervention blood pressure, heart rate, and pain score of the intervention group were significantly better than those of the control group (P<0.05). CONCLUSIONS Health professionals should pay attention to and strengthen the exploration of the effects of reasonable care intervention mode under PCI to promote the physical and mental health of patients, as well as improve their medical care satisfaction.
Continuous Newton-Euler Algorithms for Geometrically Exact Flexible Beams

A Newton-Euler formalism is derived for geometrically exact Cosserat beam theory in a purely deductive manner, thanks to an analogy with optimal control theory. The method relies upon a joint use of Gauss least constraint principle, Appell's equations and optimal control theory, that was used in a previous work for the classical case of discrete Newton-Euler backward and forward recursions for multibody systems. Motivating applications are hyper-redundant manipulators or biomimetic robots such as eel-robots, undergoing large displacements
Deformation Grammars: Hierarchical Constraint Preservation Under Deformation

Deformation grammars are a novel procedural framework enabling to sculpt hierarchical 3D models in an object‐dependent manner. They process object deformations as symbols thanks to user‐defined interpretation rules. We use them to define hierarchical deformation behaviours tailored for each model, and enabling any sculpting gesture to be interpreted as some adapted constraint‐preserving deformation. A variety of object‐specific constraints can be enforced using this framework, such as maintaining distributions of subparts, avoiding self‐penetrations or meeting semantic‐based user‐defined rules. The operations used to maintain constraints are kept transparent to the user, enabling them to focus on their design. We demonstrate the feasibility and the versatility of this approach on a variety of examples, implemented within an interactive sculpting system.
Passive Classification of Wireless NICs during Rate Switching

Computer networks have become increasingly ubiquitous. However, with the increase in networked applications, there has also been an increase in difficulty to manage and secure these networks. The proliferation of 802.11 wireless networks has heightened this problem by extending networks beyond physical boundaries. We propose the use of spectral analysis to identify the type of wireless network interface card (NIC). This mechanism can be applied to support the detection of unauthorized systems that use NICs which are different from that of a legitimate system. We focus on rate switching, a vaguely specified mechanism required by the 802.11 standard that is implemented in the hardware and software of the wireless NIC. We show that the implementation of this function influences the transmission patterns of a wireless stream, which are observable through traffic analysis. Our mechanism for NIC identification uses signal processing to analyze the periodicity embedded in the wireless traffic caused by rate switching. A stable spectral profile is created from the periodic components of the traffic and used for the identity of the wireless NIC. We show that we can distinguish between NICs manufactured by different vendors and NICs manufactured by the same vendor using their spectral profiles.
Queer nonsense: aestheticized homoeroticism in Inagaki Taruho's early stories

Abstract This article examines representations of schoolboy homoerotic desire in mid-1920s essays and short stories by modernist author Inagaki Taruho (1900–77) and argues that they should be read in the context of the concurrent proliferation of nansensu bungaku (nonsense literature), especially light, accessible stories that celebrate chance happenings, fashions, surfaces and fleeting impressions. Taruho uses a strategy of ‘nansensu’ in order to create a new celebratory form of queer literature that associates male homoeroticism with aesthetic acuity, modernity and what he called ‘the new arts’. At the same time, Taruho strenuously avoids the negative rhetoric that had become a significant part of representations of same-sex desire in the literature of the early Shōwa period. By drawing on particular examples from several essays and stories, including ‘Watashi no tanbishugi’ (My aestheticism, 1924), ‘Hana megane’ (Pince-nez glasses, 1924), ‘R-chan to S no hanashi’ (The story of R-chan and S, 1924), ‘Kāru to shiroi dentō’ (Karl and the white light, 1924) and ‘Tsukehige’ (False moustache, 1927), this paper demonstrates that Taruho was actively resisting and subverting the language and assumptions of sexology.
An XML-IR-DB-Sandwich: Is it Better with an Algebra in Between?

In this paper we address the problem of immediate translation of XPath+IR queries to relational database expressions and exert the benefits of using an intermediate algebra. Adding an intermediate algebra on the logical level of a database enables a level of abstraction from both query languages for IR in XML documents and the underlying relational storage. This paper proposes a region algebra that can be extended to support ranking operators in an elegant way while staying algebraic. Furthermore, region algebra operator properties provide a firm ground for query rewriting and optimization.
Overlapping and Non-overlapping Functions of Condensins I and II in Neural Stem Cell Divisions

During development of the cerebral cortex, neural stem cells (NSCs) divide symmetrically to proliferate and asymmetrically to generate neurons. Although faithful segregation of mitotic chromosomes is critical for NSC divisions, its fundamental mechanism remains unclear. A class of evolutionarily conserved protein complexes, known as condensins, is thought to be central to chromosome assembly and segregation among eukaryotes. Here we report the first comprehensive genetic study of mammalian condensins, demonstrating that two different types of condensin complexes (condensins I and II) are both essential for NSC divisions and survival in mice. Simultaneous depletion of both condensins leads to severe defects in chromosome assembly and segregation, which in turn cause DNA damage and trigger p53-induced apoptosis. Individual depletions of condensins I and II lead to slower loss of NSCs compared to simultaneous depletion, but they display distinct mitotic defects: chromosome missegregation was observed more prominently in NSCs depleted of condensin II, whereas mitotic delays were detectable only in condensin I-depleted NSCs. Remarkably, NSCs depleted of condensin II display hyperclustering of pericentric heterochromatin and nucleoli, indicating that condensin II, but not condensin I, plays a critical role in establishing interphase nuclear architecture. Intriguingly, these defects are taken over to postmitotic neurons. Our results demonstrate that condensins I and II have overlapping and non-overlapping functions in NSCs, and also provide evolutionary insight into intricate balancing acts of the two condensin complexes.